diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 3069f7d0faf59e8e99c0263f65cb8bd3efc8bbc3..65771af17e4d3f67200bd0c5a689f72309bb7c7e 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -1,33 +1,22 @@
-variables:
-  GIT_SUBMODULE_STRATEGY: recursive
+image: mambaorg/micromamba
 
 stages:
-  - build
-  - test
+  - build_and_test
 
-build:
-  stage: build
-  image: gcc
-  before_script:
-    - apt update && apt -y install make autoconf cmake
+build-and-test:
+  stage: build_and_test
   script:
-    - mkdir build
-    - cmake -S . -B build
-    - cmake --build build
-  artifacts:
-    expire_in: 2 hrs
-    paths:
-      - build/
-
-test:
-  stage: test
-  image: python:3.9.13
-  script:
-    # print Python version
-    - python --version
-    # install test suite dependencies
-    - python -m pip install numpy
-    # run test suite
+    # install dependencies
+    - micromamba install --yes --file environment.yml
+    # vendor evalhyd (while waiting for evalhyd to be uploaded to conda-forge)
+    - micromamba install --yes -c conda-forge git
+    - git clone https://gitlab.irstea.fr/HYCAR-Hydro/evalhyd/evalhyd-cpp deps/evalhyd-cpp --branch v0.1.0
+    # configure evalhyd
+    - cmake -B build -D CMAKE_BUILD_TYPE=Release -D CMAKE_PREFIX_PATH="$CONDA_PREFIX" -D EVALHYD_SRC="${PWD}/deps/evalhyd-cpp"
+    # compile evalhyd
+    - cmake --build build --parallel
+    # install evalhyd
+    - cmake --install build/ --prefix local/
+    - export PATH="${PWD}/local/bin:${PATH}"
+    # run tests
     - (cd ./tests && python run_all_tests.py)
-  dependencies:
-    - build
diff --git a/.gitmodules b/.gitmodules
deleted file mode 100644
index 50a637b462cbde3458b078cd41b30456699d558f..0000000000000000000000000000000000000000
--- a/.gitmodules
+++ /dev/null
@@ -1,6 +0,0 @@
-[submodule "deps/evalhyd"]
-	path = deps/evalhyd
-	url = https://gitlab.irstea.fr/HYCAR-Hydro/evalhyd/evalhyd.git
-[submodule "deps/CLI11"]
-	path = deps/CLI11
-	url = https://github.com/CLIUtils/CLI11
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 8b4f297d8e48107712596513660ddb120a97e8da..a530b51c5e01e2460307436fa2bcae7a74d25f34 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1,33 +1,73 @@
-cmake_minimum_required(VERSION 3.18)
-project(evalhyd_cli)
+cmake_minimum_required(VERSION 3.15)
 
-set(CMAKE_CXX_STANDARD 17)
+project(
+        EvalHyd-CLI
+        LANGUAGES CXX
+        VERSION 0.1.0.0
+        DESCRIPTION "Command line interface for EvalHyd"
+)
+
+# ------------------------------------------------------------------------------
+# dependencies
+# ------------------------------------------------------------------------------
+
+find_package(xtl 0.7.5 REQUIRED)
+message(STATUS "Found xtl: ${xtensor_INCLUDE_DIRS}/xtl")
 
-if(CMAKE_SYSTEM_NAME STREQUAL "Darwin")
-    set(CMAKE_CXX_FLAGS "-O3")
+find_package(xtensor 0.24.6 REQUIRED)
+message(STATUS "Found xtensor: ${xtensor_INCLUDE_DIRS}/xtensor")
+
+if(DEFINED EVALHYD_SRC)
+    set(EVALHYD_BUILD_TEST OFF CACHE BOOL "configure and compile tests")
+    add_subdirectory(${EVALHYD_SRC} deps/evalhyd-cpp)
 else()
-    set(CMAKE_CXX_FLAGS "--static -O3")
+    find_package(EvalHyd 0.1.0 REQUIRED)
+    message(STATUS "Found EvalHyd: ${EvalHyd_INCLUDE_DIRS}/evalhyd")
 endif()
 
-include_directories("./src")
-include_directories("./deps/evalhyd/include")
-include_directories("./deps/evalhyd/src")
-include_directories("./deps/evalhyd/deps/xtl/include")
-include_directories("./deps/evalhyd/deps/xtensor/include")
+find_package(CLI11 CONFIG REQUIRED)
+
+# ------------------------------------------------------------------------------
+# build
+# ------------------------------------------------------------------------------
+
+# define evalhyd-cli library
+add_library(
+        evalhyd-cli
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/evald.cpp
+        ${CMAKE_CURRENT_SOURCE_DIR}/src/evalp.cpp
+)
+
+add_library(EvalHyd-CLI::evalhyd-cli ALIAS evalhyd-cli)
+
+set_target_properties(
+        evalhyd-cli
+        PROPERTIES
+                VISIBILITY_INLINES_HIDDEN ON
+)
 
-include_directories("./deps/CLI11/include")
+target_include_directories(
+        evalhyd-cli
+        PUBLIC
+                $<INSTALL_INTERFACE:include>
+                $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
+        PRIVATE
+                ${CMAKE_CURRENT_SOURCE_DIR}/src
+)
 
-set(
-        EVALHYD_SRC
-        ./deps/evalhyd/src/probabilist/evaluator_brier.cpp
-        ./deps/evalhyd/src/probabilist/evaluator_elements.cpp
-        ./deps/evalhyd/src/probabilist/evaluator_quantiles.cpp
+target_link_libraries(
+        evalhyd-cli
+        PUBLIC
+                xtensor
+                EvalHyd::evalhyd
+                CLI11::CLI11
 )
 
-add_executable(
-        evalhyd
-        src/evald.cpp
-        src/evalp.cpp
-        src/evalhyd-cli.cpp
-        ${EVALHYD_SRC}
+target_compile_features(
+        evalhyd-cli
+        PUBLIC
+                cxx_std_17
 )
+
+# add CLI application
+add_subdirectory(apps)
diff --git a/LICENCE.rst b/LICENCE.rst
new file mode 100644
index 0000000000000000000000000000000000000000..23f589cb52912b4a70adac8992cf11dbb4054caa
--- /dev/null
+++ b/LICENCE.rst
@@ -0,0 +1,619 @@
+GNU General Public License
+
+Version 3, 29 June 2007
+Copyright © 2007 Free Software Foundation, Inc. <https://fsf.org/>
+
+Everyone is permitted to copy and distribute verbatim copies of this license
+document, but changing it is not allowed.
+
+Preamble
+--------
+
+The GNU General Public License is a free, copyleft license for software and other
+kinds of works.
+
+The licenses for most software and other practical works are designed to take away
+your freedom to share and change the works. By contrast, the GNU General Public
+License is intended to guarantee your freedom to share and change all versions of a
+program--to make sure it remains free software for all its users. We, the Free
+Software Foundation, use the GNU General Public License for most of our software; it
+applies also to any other work released this way by its authors. You can apply it to
+your programs, too.
+
+When we speak of free software, we are referring to freedom, not price. Our General
+Public Licenses are designed to make sure that you have the freedom to distribute
+copies of free software (and charge for them if you wish), that you receive source
+code or can get it if you want it, that you can change the software or use pieces of
+it in new free programs, and that you know you can do these things.
+
+To protect your rights, we need to prevent others from denying you these rights or
+asking you to surrender the rights. Therefore, you have certain responsibilities if
+you distribute copies of the software, or if you modify it: responsibilities to
+respect the freedom of others.
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+For example, if you distribute copies of such a program, whether gratis or for a fee,
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+Developers that use the GNU GPL protect your rights with two steps: (1) assert
+copyright on the software, and (2) offer you this License giving you legal permission
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+For the developers' and authors' protection, the GPL clearly explains that there is
+no warranty for this free software. For both users' and authors' sake, the GPL
+requires that modified versions be marked as changed, so that their problems will not
+be attributed erroneously to authors of previous versions.
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+Some devices are designed to deny users access to install or run modified versions of
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+
+The precise terms and conditions for copying, distribution and modification follow.
+
+Terms and Conditions
+--------------------
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+^^^^^^^^^^^^^^
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+
+If you convey a covered work, knowingly relying on a patent license, and the
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+Source to be so available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner consistent with
+the requirements of this License, to extend the patent license to downstream
+recipients. “Knowingly relying” means you have actual knowledge that, but
+for the patent license, your conveying the covered work in a country, or your
+recipient's use of the covered work in a country, would infringe one or more
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+If, pursuant to or in connection with a single transaction or arrangement, you
+convey, or propagate by procuring conveyance of, a covered work, and grant a patent
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+
+A patent license is “discriminatory” if it does not include within the
+scope of its coverage, prohibits the exercise of, or is conditioned on the
+non-exercise of one or more of the rights that are specifically granted under this
+License. You may not convey a covered work if you are a party to an arrangement with
+a third party that is in the business of distributing software, under which you make
+payment to the third party based on the extent of your activity of conveying the
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+the covered work from you, a discriminatory patent license (a) in connection with
+copies of the covered work conveyed by you (or copies made from those copies), or (b)
+primarily for and in connection with specific products or compilations that contain
+the covered work, unless you entered into that arrangement, or that patent license
+was granted, prior to 28 March 2007.
+
+Nothing in this License shall be construed as excluding or limiting any implied
+license or other defenses to infringement that may otherwise be available to you
+under applicable patent law.
+
+12. No Surrender of Others' Freedom
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+If conditions are imposed on you (whether by court order, agreement or otherwise)
+that contradict the conditions of this License, they do not excuse you from the
+conditions of this License. If you cannot convey a covered work so as to satisfy
+simultaneously your obligations under this License and any other pertinent
+obligations, then as a consequence you may not convey it at all. For example, if you
+agree to terms that obligate you to collect a royalty for further conveying from
+those to whom you convey the Program, the only way you could satisfy both those terms
+and this License would be to refrain entirely from conveying the Program.
+
+13. Use with the GNU Affero General Public License
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Notwithstanding any other provision of this License, you have permission to link or
+combine any covered work with a work licensed under version 3 of the GNU Affero
+General Public License into a single combined work, and to convey the resulting work.
+The terms of this License will continue to apply to the part which is the covered
+work, but the special requirements of the GNU Affero General Public License, section
+13, concerning interaction through a network will apply to the combination as such.
+
+14. Revised Versions of this License
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The Free Software Foundation may publish revised and/or new versions of the GNU
+General Public License from time to time. Such new versions will be similar in spirit
+to the present version, but may differ in detail to address new problems or concerns.
+
+Each version is given a distinguishing version number. If the Program specifies that
+a certain numbered version of the GNU General Public License “or any later
+version” applies to it, you have the option of following the terms and
+conditions either of that numbered version or of any later version published by the
+Free Software Foundation. If the Program does not specify a version number of the GNU
+General Public License, you may choose any version ever published by the Free
+Software Foundation.
+
+If the Program specifies that a proxy can decide which future versions of the GNU
+General Public License can be used, that proxy's public statement of acceptance of a
+version permanently authorizes you to choose that version for the Program.
+
+Later license versions may give you additional or different permissions. However, no
+additional obligations are imposed on any author or copyright holder as a result of
+your choosing to follow a later version.
+
+15. Disclaimer of Warranty
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW.
+EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES
+PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER
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+QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE
+DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+16. Limitation of Liability
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY
+COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS
+PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL,
+INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE
+PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE
+OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE
+WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGES.
+
+17. Interpretation of Sections 15 and 16
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+If the disclaimer of warranty and limitation of liability provided above cannot be
+given local legal effect according to their terms, reviewing courts shall apply local
+law that most closely approximates an absolute waiver of all civil liability in
+connection with the Program, unless a warranty or assumption of liability accompanies
+a copy of the Program in return for a fee.
+
+END OF TERMS AND CONDITIONS
+
+How to Apply These Terms to Your New Programs
+---------------------------------------------
+
+If you develop a new program, and you want it to be of the greatest possible use to
+the public, the best way to achieve this is to make it free software which everyone
+can redistribute and change under these terms.
+
+To do so, attach the following notices to the program. It is safest to attach them
+to the start of each source file to most effectively state the exclusion of warranty;
+and each file should have at least the “copyright” line and a pointer to
+where the full notice is found.
+
+.. pull-quote::
+
+   <one line to give the program's name and a brief idea of what it does.>
+   Copyright (C) <year>  <name of author>
+
+   This program is free software: you can redistribute it and/or modify
+   it under the terms of the GNU General Public License as published by
+   the Free Software Foundation, either version 3 of the License, or
+   (at your option) any later version.
+
+   This program is distributed in the hope that it will be useful,
+   but WITHOUT ANY WARRANTY; without even the implied warranty of
+   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+   GNU General Public License for more details.
+
+   You should have received a copy of the GNU General Public License
+   along with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+If the program does terminal interaction, make it output a short notice like this
+when it starts in an interactive mode:
+
+.. pull-quote::
+
+   <program>  Copyright (C) <year>  <name of author>
+   This program comes with ABSOLUTELY NO WARRANTY; for details type 'show w'.
+   This is free software, and you are welcome to redistribute it
+   under certain conditions; type 'show c' for details.
+
+The hypothetical commands `show w` and `show c` should show the appropriate parts of
+the General Public License. Of course, your program's commands might be different;
+for a GUI interface, you would use an “about box”.
+
+You should also get your employer (if you work as a programmer) or school, if any, to
+sign a “copyright disclaimer” for the program, if necessary. For more
+information on this, and how to apply and follow the GNU GPL, see
+<http://www.gnu.org/licenses/>.
+
+The GNU General Public License does not permit incorporating your program into
+proprietary programs. If your program is a subroutine library, you may consider it
+more useful to permit linking proprietary applications with the library. If this is
+what you want to do, use the GNU Lesser General Public License instead of this
+License. But first, please read
+<http://www.gnu.org/philosophy/why-not-lgpl.html>.
\ No newline at end of file
diff --git a/README.md b/README.md
index 188f3a79e46a7d3a4a78144b68abf25d909b512e..f7cfe739334a47b1a7953bfdf82e04fcb93128a9 100644
--- a/README.md
+++ b/README.md
@@ -2,4 +2,4 @@
 
 Command line interface for `evalhyd` utility
 
-Documentation: https://hycar-hydro.gitlab.irstea.page/evalhyd/evalhyd-docs/cli
+Documentation: https://hydrogr.github.io/evalhyd/cli
diff --git a/apps/CMakeLists.txt b/apps/CMakeLists.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1dc4a6879242c0703fde35e04aa0543c914eb3da
--- /dev/null
+++ b/apps/CMakeLists.txt
@@ -0,0 +1,36 @@
+cmake_minimum_required(VERSION 3.15)
+
+# ------------------------------------------------------------------------------
+# build
+# ------------------------------------------------------------------------------
+
+add_executable(
+        evalhyd-app
+        evalhyd-cli.cpp
+)
+
+target_compile_features(
+        evalhyd-app
+        PRIVATE
+                cxx_std_17
+)
+
+target_link_libraries(
+        evalhyd-app
+        PRIVATE
+                EvalHyd-CLI::evalhyd-cli
+                CLI11::CLI11
+)
+
+set_target_properties(
+        evalhyd-app PROPERTIES
+        OUTPUT_NAME evalhyd
+)
+
+# ------------------------------------------------------------------------------
+# installation
+# ------------------------------------------------------------------------------
+
+install(
+        TARGETS evalhyd-app
+)
diff --git a/src/evalhyd-cli.cpp b/apps/evalhyd-cli.cpp
similarity index 90%
rename from src/evalhyd-cli.cpp
rename to apps/evalhyd-cli.cpp
index cc40b5923f47cf1aab0b887c38b0c65c3fe23282..040eebc8b1af4c3091eab31fd2de05defbfc7970 100644
--- a/src/evalhyd-cli.cpp
+++ b/apps/evalhyd-cli.cpp
@@ -1,7 +1,7 @@
 #include <CLI/CLI.hpp>
 
-#include "evald.h"
-#include "evalp.h"
+#include "evalhyd-cli/evald.hpp"
+#include "evalhyd-cli/evalp.hpp"
 
 /// Main program implementing the Command Line Interface.
 int main(int argc, char **argv) {
diff --git a/changelog.rst b/changelog.rst
new file mode 100644
index 0000000000000000000000000000000000000000..91f4f5149d4f45b83ceb83ba7554ad97f89c0061
--- /dev/null
+++ b/changelog.rst
@@ -0,0 +1,14 @@
+.. default-role:: obj
+
+..
+   latest
+   ------
+
+   Yet to be versioned and released. Only available from *dev* branch until then.
+
+v0.1.0.0
+--------
+
+Released on 2023-04-14.
+
+* first release
diff --git a/deps/CLI11 b/deps/CLI11
deleted file mode 160000
index b9be5b9444772324459989177108a6a65b8b2769..0000000000000000000000000000000000000000
--- a/deps/CLI11
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit b9be5b9444772324459989177108a6a65b8b2769
diff --git a/deps/evalhyd b/deps/evalhyd
deleted file mode 160000
index 592caff2eafc89a3cad9da4d47bb1a2eb777b2eb..0000000000000000000000000000000000000000
--- a/deps/evalhyd
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 592caff2eafc89a3cad9da4d47bb1a2eb777b2eb
diff --git a/environment.yml b/environment.yml
new file mode 100644
index 0000000000000000000000000000000000000000..53aae3aa14844b30a4492215d41c66d5090f1300
--- /dev/null
+++ b/environment.yml
@@ -0,0 +1,16 @@
+channels:
+  - conda-forge
+dependencies:
+  # Build dependencies
+  - cxx-compiler
+  - c-compiler
+  - cmake
+  - make
+  # Host dependencies
+  - xtl==0.7.5
+  - xtensor==0.24.6
+#TODO:  - evalhyd==0.1.0
+  - cli11
+  # Test dependencies
+  - python
+  - numpy
diff --git a/include/evalhyd-cli/evald.hpp b/include/evalhyd-cli/evald.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..63bc8e55a04591de87b399d05333f239345b1ea8
--- /dev/null
+++ b/include/evalhyd-cli/evald.hpp
@@ -0,0 +1,8 @@
+#ifndef EVALHYD_CLI_EVALD_HPP
+#define EVALHYD_CLI_EVALD_HPP
+
+#include "CLI/CLI.hpp"
+
+void setup_evald(CLI::App &app);
+
+#endif //EVALHYD_CLI_EVALD_HPP
diff --git a/include/evalhyd-cli/evalp.hpp b/include/evalhyd-cli/evalp.hpp
new file mode 100644
index 0000000000000000000000000000000000000000..f61e88f9de0cdf2aa25cbaa78d3758548eaf97fa
--- /dev/null
+++ b/include/evalhyd-cli/evalp.hpp
@@ -0,0 +1,8 @@
+#ifndef EVALHYD_CLI_EVALP_HPP
+#define EVALHYD_CLI_EVALP_HPP
+
+#include "CLI/CLI.hpp"
+
+void setup_evalp(CLI::App &app);
+
+#endif //EVALHYD_CLI_EVALP_HPP
diff --git a/src/evald.cpp b/src/evald.cpp
index 80286deb4caf7026af598d541255f534c8ea5f86..f37c2d103bfcffae222783be7aa0aeb718e392bf 100644
--- a/src/evald.cpp
+++ b/src/evald.cpp
@@ -8,9 +8,11 @@
 #include <stdexcept>
 #include <memory>
 #include <algorithm>
+#include <optional>
 
 #include <CLI/CLI.hpp>
 
+#include <xtl/xoptional.hpp>
 #include <xtensor/xtensor.hpp>
 #include <xtensor/xarray.hpp>
 #include <xtensor/xview.hpp>
@@ -20,7 +22,7 @@
 
 #include <evalhyd/evald.hpp>
 
-#include "evald.h"
+#include "evalhyd-cli/evald.hpp"
 
 /// Data structure to store flags and options for 'evald' subcommand interface.
 struct EvalDInterface
@@ -36,19 +38,26 @@ struct EvalDInterface
     // set default output directory
     std::string output_dir = ".";
 
+    // optionals related to thresholds-based metrics
+    std::string thr = {};
+    std::optional<std::string> events;
+
     // optionals related to flow transformation
-    std::string transform = "none";
-    double exponent = 1;
-    double epsilon = -9;
+    std::optional<std::string> transform;
+    std::optional<double> exponent;
+    std::optional<double> epsilon;
 
     // optionals related to temporal subsetting
     std::string msk;
     std::string cdt;
 
     // optionals related to bootstrapping
-    std::vector<std::string> bootstrap =
-            {"n_samples", "-9", "len_sample", "-9", "summary", "0"};
+    std::optional<std::vector<std::string>> bootstrap;
     std::string dts;
+    std::optional<int> seed;
+
+    // optionals related to diagnostics
+    std::optional<std::vector<std::string>> diags;
 };
 
 /// Procedure to run 'evald' subcommand (making use of evalhyd).
@@ -66,115 +75,217 @@ void run_evald(EvalDInterface const &opt)
     xt::xtensor<double, 2> predicted = xt::load_csv<double>(in_file);
     in_file.close();
 
+    // retrieve dimensions
+    std::size_t n_srs = predicted.shape(0);
+    std::size_t n_tim = predicted.shape(1);
+
     // process temporal masks (if provided)
-    xt::xtensor<bool, 2> masks;
-    xt::xtensor<std::array<char, 32>, 1> conditions;
+    xt::xtensor<bool, 3> masks;
+    xt::xtensor<std::array<char, 32>, 2> conditions;
 
-    if (not opt.msk.empty())
+    if (!opt.msk.empty())
     {
+        // read file to determine number of masks
         in_file.open(opt.msk);
-        masks = xt::load_csv<double>(in_file);
+        auto n_lin = xt::load_csv<double>(in_file).shape(0);
+        in_file.close();
+
+        std::size_t n_msk = 0;
+        if (n_lin % n_srs == 0)
+        {
+            n_msk = n_lin / n_srs;
+        }
+        else
+        {
+            throw std::runtime_error(
+                    "number of temporal masks is not a multiple of number of "
+                    "prediction series"
+            );
+        }
+
+        // read and reshape CSV data into 3D tensor
+        in_file.open(opt.msk);
+        masks = xt::reshape_view(
+                xt::load_csv<bool>(in_file), {n_srs, n_msk, n_tim}
+        );
         in_file.close();
     }
-    else if (not opt.cdt.empty())
+    else if (!opt.cdt.empty())
     {
-        // use masking conditions file to determine number of masks
+        // read CSV data
         in_file.open(opt.cdt);
-        std::size_t n_msk = 0;
-        std::string line;
-        while (std::getline(in_file, line))
-            n_msk++;
+        xt::xtensor<std::string, 2> cdt = xt::load_csv<std::string>(in_file);
         in_file.close();
 
-        conditions = xt::xtensor<std::array<char, 32>, 1> ({n_msk});
-
-        in_file.open(opt.cdt);
-        int ss = 0;
-        while (std::getline(in_file, line))
+        // convert string to 32-byte character array
+        conditions = xt::xtensor<std::array<char, 32>, 2> (cdt.shape());
+        for (std::size_t i = 0; i < cdt.shape(0); i++)
         {
-            // remove special characters carriage return/new line
-            line.erase(std::remove(line.begin(), line.end(), '\r'), line.end());
-            line.erase(std::remove(line.begin(), line.end(), '\n'), line.end());
+            for (std::size_t j = 0; j < cdt.shape(0); j++)
+            {
+                auto condition = cdt(i, j);
 
-            // convert string to 32-byte character array
-            std::array<char, 32> arr ({});
-            std::copy(line.begin(), line.end(), arr.data());
+                std::array<char, 32> arr ({});
+                std::copy(condition.begin(), condition.end(), arr.data());
 
-            xt::view(conditions, ss) = arr;
-            ss++;
+                xt::view(conditions, i, j) = arr;
+            }
         }
-        in_file.close();
     }
 
     // rearrange bootstrap parameters into mapping structure
     std::unordered_map<std::string, int> bootstrap;
-    if (opt.bootstrap.size() % 2)
-    {
-        throw std::runtime_error(
-                "bootstrap parameters not paired as key/value"
-        );
-    }
-    else
+    if (opt.bootstrap.has_value())
     {
-        for (int p = 0; p < opt.bootstrap.size() / 2; p++)
+        if (opt.bootstrap.value().size() % 2)
         {
-            try
-            {
-                bootstrap[opt.bootstrap[p*2]] = std::stoi(opt.bootstrap[p*2+1]);
-            }
-            catch (const std::invalid_argument& e)
+            throw std::runtime_error(
+                    "bootstrap parameters not paired as key/value"
+            );
+        }
+        else
+        {
+            for (int p = 0; p < opt.bootstrap.value().size() / 2; p++)
             {
-                throw std::runtime_error(
-                        "bootstrap parameter value could not be converted to "
-                        "an integer for key " + opt.bootstrap[p*2]
-                );
+                try
+                {
+                    bootstrap[opt.bootstrap.value()[p*2]] =
+                            std::stoi(opt.bootstrap.value()[p*2+1]);
+                }
+                catch (const std::invalid_argument& e)
+                {
+                    throw std::runtime_error(
+                            "bootstrap parameter value could not be converted to "
+                            "an integer for key " + opt.bootstrap.value()[p*2]
+                    );
+                }
             }
         }
     }
 
+    // initialise (and potentially populate) threshold tensor
+    xt::xtensor<double, 2> thresholds = {};
+
+    if (!opt.thr.empty())
+    {
+        in_file.open(opt.thr);
+        thresholds = xt::load_csv<double>(in_file);
+        in_file.close();
+    }
+
     // read datetimes in if provided
     std::vector<std::string> datetimes = {};
-    if (not opt.dts.empty())
+    if (!opt.dts.empty())
     {
         in_file.open(opt.dts);
         std::string dt;
         while (std::getline(in_file, dt, ','))
+        {
             datetimes.push_back(dt);
+        }
         in_file.close();
     }
 
     // compute metrics
     std::vector<xt::xarray<double>> results =
             evalhyd::evald(
-                    observed, predicted, opt.metrics,
-                    opt.transform, opt.exponent, opt.epsilon,
-                    masks, conditions, bootstrap, datetimes
+                    observed,
+                    predicted,
+                    opt.metrics,
+                    thresholds,
+                    (opt.events.has_value())
+                        ? opt.events.value()
+                        : xtl::missing<std::string>(),
+                    (opt.transform.has_value())
+                        ? opt.transform.value()
+                        : xtl::missing<std::string>(),
+                    (opt.exponent.has_value())
+                        ? opt.exponent.value()
+                        : xtl::missing<double>(),
+                    (opt.epsilon.has_value())
+                        ? opt.epsilon.value()
+                        : xtl::missing<double>(),
+                    masks,
+                    conditions,
+                    (opt.bootstrap.has_value())
+                        ? bootstrap
+                        : xtl::missing<std::unordered_map<std::string, int>>(),
+                    datetimes,
+                    (opt.seed.has_value())
+                        ? opt.seed.value()
+                        : xtl::missing<int>(),
+                    (opt.diags.has_value())
+                        ? opt.diags.value()
+                        : xtl::missing<std::vector<std::string>>()
             );
 
     // handle output
-    int m = 0;
-    for (const auto& metric : opt.metrics)
+    int v = 0;
+
+    std::vector<std::string> variables = opt.metrics;
+    if (opt.diags.has_value())
+    {
+        variables.insert(
+                variables.end(),
+                opt.diags.value().begin(), opt.diags.value().end()
+        );
+    }
+
+    for (const auto& variable : variables)
     {
         // store results into CSV files
         if(opt.to_file)
         {
-            out_file.open(opt.output_dir + "/evald_" += metric + ".csv");
+            out_file.open(opt.output_dir + "/evald_" += variable + ".csv");
+            
+            auto result = results[v];
+            
             // 3D: (series, subsets, samples)
-            xt::dump_csv(
-                    out_file,
-                    xt::reshape_view(
-                            results[m],
-                            {results[m].shape(0) * results[m].shape(1),
-                             results[m].shape(2)}
-                    )
-            );
+            if (result.dimension() == 3)
+            {
+                xt::dump_csv(
+                        out_file,
+                        xt::reshape_view(
+                                result,
+                                {result.shape(0) * result.shape(1),
+                                 result.shape(2)}
+                        )
+                );
+            }
+            // 4D: (series, subsets, samples, components)
+            else if (result.dimension() == 4)
+            {
+                xt::dump_csv(
+                        out_file,
+                        xt::reshape_view(
+                                result,
+                                {result.shape(0) * result.shape(1)
+                                 * result.shape(2),
+                                 result.shape(3)}
+                        )
+                );
+            }
+            // 5D: (series, subsets, samples, thresholds, cells)
+            else if (result.dimension() == 5)
+            {
+                xt::dump_csv(
+                        out_file,
+                        xt::reshape_view(
+                                result,
+                                {result.shape(0) * result.shape(1)
+                                 * result.shape(2) * result.shape(3),
+                                 result.shape(4)}
+                        )
+                );
+            }
+
             out_file.close();
         }
         else
         {
-            std::cout << results[m] << std::endl;
+            std::cout << results[v] << std::endl;
         }
-        m++;
+        v++;
     }
 }
 
@@ -197,14 +308,16 @@ void setup_evald(CLI::App &app)
                     "List of evaluation metrics to compute")
             ->required();
 
-    // flags
-    sub->add_flag("--to_file", opt->to_file,
-                  "Divert output to CSV file, otherwise output to console");
-
     // optional parameters
-    sub->add_option("--out_dir", opt->output_dir,
-                    "Path to output directory")
-            ->check(CLI::ExistingDirectory);
+    sub->add_option("--q_thr", opt->thr,
+                    "Path to streamflow thresholds file")
+            ->check(CLI::ExistingFile);
+
+    sub->add_option("--events", opt->events,
+                    "Type of streamflow events to consider for threshold \n"
+                    "exceedance-based metrics. It can either be set as \n"
+                    "'high' (i.e. above threshold) or as 'low' (i.e. below \n"
+                    "threshold)");
 
     sub->add_option("--transform", opt->transform,
                     "Transformation to apply to both streamflow observations \n"
@@ -238,5 +351,19 @@ void setup_evald(CLI::App &app)
                     "Path to datetimes CSV file")
             ->check(CLI::ExistingFile);
 
+    sub->add_option("--seed", opt->seed,
+                    "Value of the seed for the random generator");
+
+    sub->add_option("--diagnostics", opt->diags,
+                    "List of evaluation diagnostics to compute");
+
+    sub->add_option("--out_dir", opt->output_dir,
+                    "Path to output directory")
+            ->check(CLI::ExistingDirectory);
+
+    // flags
+    sub->add_flag("--to_file", opt->to_file,
+                  "Divert output to CSV file, otherwise output to console");
+
     sub->callback([opt]() { run_evald(*opt); });
 }
diff --git a/src/evald.h b/src/evald.h
deleted file mode 100644
index b86c6d7760926a0c2f586d84e3e675e3de5c48b7..0000000000000000000000000000000000000000
--- a/src/evald.h
+++ /dev/null
@@ -1,8 +0,0 @@
-#ifndef EVALHYD_CLI_EVALD_H
-#define EVALHYD_CLI_EVALD_H
-
-#include <CLI/CLI.hpp>
-
-void setup_evald(CLI::App &app);
-
-#endif //EVALHYD_CLI_EVALD_H
diff --git a/src/evalp.cpp b/src/evalp.cpp
index 981576f2c26f002010e063d7f5cc65d26b9dd1fe..0ceb23655a7143e7446c038484fb64ba3501033c 100644
--- a/src/evalp.cpp
+++ b/src/evalp.cpp
@@ -11,9 +11,11 @@
 #include <stdexcept>
 #include <numeric>
 #include <algorithm>
+#include <optional>
 
 #include <CLI/CLI.hpp>
 
+#include <xtl/xoptional.hpp>
 #include <xtensor/xtensor.hpp>
 #include <xtensor/xarray.hpp>
 #include <xtensor/xview.hpp>
@@ -23,7 +25,7 @@
 
 #include <evalhyd/evalp.hpp>
 
-#include "evalp.h"
+#include "evalhyd-cli/evalp.hpp"
 
 namespace fs = std::filesystem;
 
@@ -152,8 +154,6 @@ struct EvalPInterface
     std::string obs = "./q_obs";
     std::string prd = "./q_prd";
 
-    std::string thr = {};
-
     std::vector<std::string> metrics;
 
     bool to_file = false;
@@ -161,14 +161,24 @@ struct EvalPInterface
     // set default output directory
     std::string output_dir = ".";
 
+    // optionals related to thresholds-based metrics
+    std::string thr = {};
+    std::optional<std::string> events;
+
+    // optionals related to intervals-based metrics
+    std::vector<double> lvl = {};
+
     // optionals related to temporal subsetting
     std::string msk;
     std::string cdt;
 
     // optionals related to bootstrapping
-    std::vector<std::string> bootstrap =
-            {"n_samples", "-9", "len_sample", "-9", "summary", "0"};
+    std::optional<std::vector<std::string>> bootstrap;
     std::string dts;
+    std::optional<int> seed;
+
+    // optionals related to diagnostics
+    std::optional<std::vector<std::string>> diags;
 };
 
 /// Procedure to run 'evalp' subcommand (making use of evalhyd).
@@ -190,21 +200,21 @@ void run_evalp(EvalPInterface const &opt)
 
     // process optional input data (thresholds, masks)
     s_tree thr_t;
-    if (not opt.thr.empty())
+    if (!opt.thr.empty())
     {
         thr_t = find_s_data(opt.thr);
         check_sites_in_s_tree(sites, thr_t, "streamflow thresholds");
     }
 
     ls_tree msk_t;
-    if (not opt.msk.empty())
+    if (!opt.msk.empty())
     {
         msk_t = find_ls_data(opt.msk);
         check_sites_in_ls_tree(leadtimes, sites, msk_t, "temporal masks");
     }
 
     s_tree cdt_t;
-    if (not opt.cdt.empty())
+    if (!opt.cdt.empty())
     {
         cdt_t = find_s_data(opt.cdt);
         check_sites_in_s_tree(sites, cdt_t, "masking conditions");
@@ -270,7 +280,7 @@ void run_evalp(EvalPInterface const &opt)
 
     std::size_t n_msk = 0;
 
-    if (not opt.msk.empty())
+    if (!opt.msk.empty())
     {
         // (use first threshold file to determine number of masks)
         in_file.open(msk_t[leadtimes[0]][sites[0]]);
@@ -301,13 +311,15 @@ void run_evalp(EvalPInterface const &opt)
             l++;
         }
     }
-    else if (not opt.cdt.empty())
+    else if (!opt.cdt.empty())
     {
         // (use first masking conditions file to determine number of masks)
         in_file.open(cdt_t[sites[0]]);
         std::string line;
         while (std::getline(in_file, line))
+        {
             n_msk++;
+        }
         in_file.close();
 
         conditions = xt::xtensor<std::array<char, 32>, 2> ({sites.size(), n_msk});
@@ -332,9 +344,11 @@ void run_evalp(EvalPInterface const &opt)
             }
             in_file.close();
             if (ss != n_msk)
+            {
                 throw std::runtime_error(
                         "mismatch in number of masking conditions across sites"
                 );
+            }
             s++;
         }
     }
@@ -346,7 +360,7 @@ void run_evalp(EvalPInterface const &opt)
     // initialise (and potentially populate) threshold tensor
     xt::xtensor<double, 2> thresholds = {};
 
-    if (not opt.thr.empty())
+    if (!opt.thr.empty())
     {
         // (use first threshold file to determine number of thresholds)
         in_file.open(thr_t[sites[0]]);
@@ -375,51 +389,146 @@ void run_evalp(EvalPInterface const &opt)
 
     // rearrange bootstrap parameters into mapping structure
     std::unordered_map<std::string, int> bootstrap;
-    if (opt.bootstrap.size() % 2)
+    if (opt.bootstrap.has_value())
     {
-        throw std::runtime_error(
-                "bootstrap parameters not paired as key/value"
-        );
-    }
-    else
-    {
-        for (int p = 0; p < opt.bootstrap.size() / 2; p++)
+        if (opt.bootstrap.value().size() % 2)
         {
-            try
-            {
-                bootstrap[opt.bootstrap[p*2]] = std::stoi(opt.bootstrap[p*2+1]);
-            }
-            catch (const std::invalid_argument& e)
+            throw std::runtime_error(
+                    "bootstrap parameters not paired as key/value"
+            );
+        }
+        else
+        {
+            for (int p = 0; p < opt.bootstrap.value().size() / 2; p++)
             {
-                throw std::runtime_error(
-                        "bootstrap parameter value could not be converted to "
-                        "an integer for key " + opt.bootstrap[p*2]
-                );
+                try
+                {
+                    bootstrap[opt.bootstrap.value()[p*2]] =
+                            std::stoi(opt.bootstrap.value()[p*2+1]);
+                }
+                catch (const std::invalid_argument& e)
+                {
+                    throw std::runtime_error(
+                            "bootstrap parameter value could not be converted to "
+                            "an integer for key " + opt.bootstrap.value()[p*2]
+                    );
+                }
             }
         }
     }
 
     // read datetimes in if provided
     std::vector<std::string> datetimes = {};
-    if (not opt.dts.empty())
+    if (!opt.dts.empty())
     {
         in_file.open(opt.dts);
         std::string dt;
         while (std::getline(in_file, dt, ','))
+        {
             datetimes.push_back(dt);
+        }
         in_file.close();
     }
 
     // compute metrics
     std::vector<xt::xarray<double>> results =
             evalhyd::evalp(
-                    observations, predictions, opt.metrics, thresholds,
-                    masks, conditions, bootstrap, datetimes
+                    observations,
+                    predictions,
+                    opt.metrics,
+                    thresholds,
+                    (opt.events.has_value())
+                        ? opt.events.value()
+                        : xtl::missing<std::string>(),
+                    opt.lvl,
+                    masks,
+                    conditions,
+                    (opt.bootstrap.has_value())
+                        ? bootstrap
+                        : xtl::missing<std::unordered_map<std::string, int>>(),
+                    datetimes,
+                    (opt.seed.has_value())
+                        ? opt.seed.value()
+                        : xtl::missing<int>(),
+                    (opt.diags.has_value())
+                        ? opt.diags.value()
+                        : xtl::missing<std::vector<std::string>>()
             );
 
     // handle output
-    int m = 0;
-    for (const auto& metric : opt.metrics)
+    int v = 0;
+
+    std::vector<std::string> variables = opt.metrics;
+    if (opt.diags.has_value())
+    {
+        variables.insert(
+                variables.end(),
+                opt.diags.value().begin(), opt.diags.value().end()
+        );
+    }
+
+    std::vector<std::string> multisite = {"ES"};
+
+    // define lambda function to write result to CSV file
+    auto write_to_file = [&out_file](auto res)
+    {
+        // 2D: (subsets, samples)
+        if (res.dimension() == 2)
+        {
+            xt::dump_csv(out_file, res);
+        }
+            // 3D: (subsets, samples, thresholds)
+            //     or (subsets, samples, quantiles)
+            //     or (subsets, samples, ranks)
+            //     or (subsets, samples, intervals)
+        else if (res.dimension() == 3)
+        {
+            xt::dump_csv(
+                    out_file,
+                    xt::reshape_view(
+                            res,
+                            {res.shape(0) * res.shape(1),
+                             res.shape(2)}
+                    )
+            );
+        }
+            // 4D: (subsets, samples, thresholds, components)
+            //     or (subsets, samples, levels, thresholds)
+        else if (res.dimension() == 4)
+        {
+            xt::dump_csv(
+                    out_file,
+                    xt::reshape_view(
+                            res,
+                            {res.shape(0) * res.shape(1)
+                             * res.shape(2),
+                             res.shape(3)}
+                    )
+            );
+        }
+            // 5D: (subsets, samples, thresholds, bins, axes)
+        else if (res.dimension() == 5)
+        {
+            xt::dump_csv(
+                    out_file,
+                    xt::reshape_view(
+                            res,
+                            {res.shape(0) * res.shape(1)
+                             * res.shape(2) * res.shape(3),
+                             res.shape(4)}
+                    )
+            );
+        }
+        else
+        {
+            throw std::runtime_error(
+                    "metric to output features more than five "
+                    "dimensions"
+            );
+        }
+    };
+
+    for (const auto& variable : variables)
     {
         // store results into CSV files (one for each leadtime and site)
         if(opt.to_file)
@@ -430,49 +539,23 @@ void run_evalp(EvalPInterface const &opt)
                 fs::path path = {opt.output_dir + "/" + lt};
                 fs::create_directories(path);
 
-                s = 0;
-                for (const auto &st: sites)
+                if (std::find(multisite.begin(), multisite.end(), variable)
+                    != multisite.end())
                 {
-                    out_file.open(path.string() + "/" + st + "_" + metric + ".csv");
-
-                    auto result = xt::view(results[m], s, l);
-
-                    // 2D: (subsets, samples)
-                    if (result.dimension() == 2)
-                        xt::dump_csv(out_file, result);
-                    // 3D: (subsets, samples, thresholds)
-                    //     or (subsets, samples, quantiles)
-                    else if (result.dimension() == 3)
-                        xt::dump_csv(
-                                out_file,
-                                xt::reshape_view(
-                                        result,
-                                        {result.shape(0) * result.shape(1),
-                                         result.shape(2)}
-                                )
-                        );
-                    // 4D: (subsets, samples, thresholds, components)
-                    else if (result.dimension() == 4)
-                        xt::dump_csv(
-                                out_file,
-                                xt::reshape_view(
-                                        result,
-                                        {result.shape(0) * result.shape(1)
-                                         * result.shape(2),
-                                         result.shape(3)}
-                                )
-                        );
-                    else
+                    out_file.open(path.string() + "/" + "multisite_" + variable + ".csv");
+                    write_to_file(xt::view(results[v], 0, l));
+                    out_file.close();
+                }
+                else
+                {
+                    s = 0;
+                    for (const auto &st: sites)
                     {
+                        out_file.open(path.string() + "/" + st + "_" + variable + ".csv");
+                        write_to_file(xt::view(results[v], s, l));
                         out_file.close();
-                        throw std::runtime_error(
-                                "metric to output features more than four "
-                                "dimensions"
-                        );
+                        s++;
                     }
-
-                    out_file.close();
-                    s++;
                 }
                 l++;
             }
@@ -480,9 +563,9 @@ void run_evalp(EvalPInterface const &opt)
         // direct results to terminal
         else
         {
-            std::cout << results[m] << std::endl;
+            std::cout << results[v] << std::endl;
         }
-        m++;
+        v++;
     }
 }
 
@@ -507,15 +590,20 @@ void setup_evalp(CLI::App &app)
                     "List of evaluation metrics to compute")
             ->required();
 
-    // flags
-    sub->add_flag("--to_file", opt->to_file,
-                  "Divert output to CSV file, otherwise output to console");
-
     // optional parameters
     sub->add_option("--q_thr", opt->thr,
                     "Path to streamflow thresholds folder")
             ->check(CLI::ExistingDirectory);
 
+    sub->add_option("--events", opt->events,
+                    "Type of streamflow events to consider for threshold \n"
+                    "exceedance-based metrics. It can either be set as \n"
+                    "'high' (i.e. above threshold) or as 'low' (i.e. below \n"
+                    "threshold)");
+
+    sub->add_option("--c_lvl", opt->lvl,
+                    "Confidence levels to use for intervals-based metrics");
+
     sub->add_option("--t_msk", opt->msk,
                     "Path to temporal masks folder")
             ->check(CLI::ExistingDirectory);
@@ -525,10 +613,6 @@ void setup_evalp(CLI::App &app)
                     "(note: t_msk takes precedence)")
             ->check(CLI::ExistingDirectory);
 
-    sub->add_option("--out_dir", opt->output_dir,
-                    "Path to output directory")
-            ->check(CLI::ExistingDirectory);
-
     sub->add_option("--bootstrap", opt->bootstrap,
                     "Parameters to configure the bootstrapping in order \n"
                     "to assess the uncertainty in the evaluation metrics");
@@ -537,5 +621,19 @@ void setup_evalp(CLI::App &app)
                     "Path to datetimes CSV file")
             ->check(CLI::ExistingFile);
 
+    sub->add_option("--seed", opt->seed,
+                    "Value of the seed for the random generator");
+
+    sub->add_option("--diagnostics", opt->diags,
+                    "List of evaluation diagnostics to compute");
+
+    sub->add_option("--out_dir", opt->output_dir,
+                    "Path to output directory")
+            ->check(CLI::ExistingDirectory);
+
+    // flags
+    sub->add_flag("--to_file", opt->to_file,
+                  "Divert output to CSV file, otherwise output to console");
+
     sub->callback([opt]() { run_evalp(*opt); });
 }
diff --git a/src/evalp.h b/src/evalp.h
deleted file mode 100644
index d1693b8799c9fea943a4b660ceb69fb0fe59a746..0000000000000000000000000000000000000000
--- a/src/evalp.h
+++ /dev/null
@@ -1,8 +0,0 @@
-#ifndef EVALHYD_CLI_EVALP_H
-#define EVALHYD_CLI_EVALP_H
-
-#include <CLI/CLI.hpp>
-
-void setup_evalp(CLI::App &app);
-
-#endif //EVALHYD_CLI_EVALP_H
diff --git a/tests/config/evald.toml b/tests/config/evald.toml
index 504e9bc9419c318a77d4ae812fafb779c5bf3d6b..a1953d0deaa6870dad9fb3e2c9726f89cbd4a7ab 100644
--- a/tests/config/evald.toml
+++ b/tests/config/evald.toml
@@ -1,7 +1,11 @@
 [evald]
-metrics = ["NSE", "RMSE", "KGE", "KGEPRIME"]
+metrics = ["MAE", "MARE", "MSE", "RMSE",
+           "NSE", "KGE", "KGE_D", "KGEPRIME", "KGEPRIME_D",
+           "CONT_TBL"]
 q_obs = "./data/evald/obs.csv"
 q_prd = "./data/evald/prd.csv"
+q_thr = "./data/evald/thr.csv"
+events = "high"
 transform = "pow"
 exponent = 0.3
 to_file = false
diff --git a/tests/config/evalp.toml b/tests/config/evalp.toml
index abe38755139fc8e6237c49d5ad1be0b75c9d7142..8444d876ea1bb250060f4be116c46416d5eff32d 100644
--- a/tests/config/evalp.toml
+++ b/tests/config/evalp.toml
@@ -1,7 +1,16 @@
 [evalp]
-metrics = ["BS", "BSS", "BS_CRD", "BS_LBD", "QS", "CRPS"]
+metrics = ["BS", "BSS", "BS_CRD", "BS_LBD", "REL_DIAG", "CRPS_FROM_BS",
+           "CRPS_FROM_ECDF",
+           "QS", "CRPS_FROM_QS",
+           "POD", "POFD", "FAR", "CSI", "ROCSS",
+           "RANK_HIST", "DS", "AS",
+           "CR", "AW", "AWN", "AWI", "WS", "WSS",
+           "ES"]
 q_obs = "./data/evalp/obs"
 q_prd = "./data/evalp/prd"
 q_thr = "./data/evalp/thr"
+events = "high"
+c_lvl = [30, 80]
 t_msk = "./data/evalp/msk"
+seed = 7
 to_file = false
diff --git a/tests/data/evald/cdt.csv b/tests/data/evald/cdt.csv
index 147fd075095d209000f6f686841782c5dbcecd49..8ce06cfd90024df2997332c459be0aabcfe2a53c 100644
--- a/tests/data/evald/cdt.csv
+++ b/tests/data/evald/cdt.csv
@@ -1 +1,51 @@
 t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
+t{99:311}
diff --git a/tests/data/evald/msk.csv b/tests/data/evald/msk.csv
index 0b65742e9344c966fccae1b47bdd34fed2963ee5..53a1991a87debc67a9c92533f9027e7e6a7e53e6 100644
--- a/tests/data/evald/msk.csv
+++ b/tests/data/evald/msk.csv
@@ -1 +1,51 @@
 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
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diff --git a/tests/data/evald/prd.csv b/tests/data/evald/prd.csv
index 38394a9cf7655e0d81e608a2f61b0727152d75df..3c7cd7852c876dac0e3625479f13886a430b5f2c 100644
--- a/tests/data/evald/prd.csv
+++ b/tests/data/evald/prd.csv
@@ -3,3 +3,49 @@
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diff --git a/tests/data/evalp/cdt/site_d.csv b/tests/data/evalp/cdt/site_d.csv
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/tests/data/evalp/prd/leadtime_1/site_e.csv b/tests/data/evalp/prd/leadtime_1/site_e.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3c7cd7852c876dac0e3625479f13886a430b5f2c
--- /dev/null
+++ b/tests/data/evalp/prd/leadtime_1/site_e.csv
@@ -0,0 +1,51 @@
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diff --git a/tests/data/evalp/prd/leadtime_2/site_d.csv b/tests/data/evalp/prd/leadtime_2/site_d.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3c7cd7852c876dac0e3625479f13886a430b5f2c
--- /dev/null
+++ b/tests/data/evalp/prd/leadtime_2/site_d.csv
@@ -0,0 +1,51 @@
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diff --git a/tests/data/evalp/prd/leadtime_2/site_e.csv b/tests/data/evalp/prd/leadtime_2/site_e.csv
new file mode 100644
index 0000000000000000000000000000000000000000..3c7cd7852c876dac0e3625479f13886a430b5f2c
--- /dev/null
+++ b/tests/data/evalp/prd/leadtime_2/site_e.csv
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+0.5882352941176,0.0000000000000,0.0000000000000
+0.6078431372549,0.0000000000000,0.0000000000000
+0.6274509803922,0.0000000000000,0.0000000000000
+0.6470588235294,0.0000000000000,0.0000000000000
+0.6666666666667,0.0000000000000,0.0000000000000
+0.6862745098039,0.0000000000000,0.0000000000000
+0.7058823529412,0.0000000000000,0.0000000000000
+0.7254901960784,0.0000000000000,0.0000000000000
+0.7450980392157,0.0000000000000,0.0000000000000
+0.7647058823529,0.0000000000000,0.0000000000000
+0.7843137254902,0.0000000000000,0.0000000000000
+0.8039215686275,0.0000000000000,0.0000000000000
+0.8235294117647,0.0000000000000,0.0000000000000
+0.8431372549020,0.0000000000000,0.0000000000000
+0.8627450980392,0.0000000000000,0.0000000000000
+0.8823529411765,0.0000000000000,0.0000000000000
+0.9019607843137,0.0000000000000,0.0000000000000
+0.9215686274510,0.0000000000000,0.0000000000000
+0.9411764705882,0.0000000000000,0.0000000000000
+0.9607843137255,0.0000000000000,0.0000000000000
+0.9803921568627,0.0000000000000,0.0000000000000
+1.0000000000000,0.9302325581395,215.0000000000000
+0.0000000000000,0.0724637681159,69.0000000000000
+0.0196078431373,1.0000000000000,1.0000000000000
+0.0392156862745,0.0000000000000,0.0000000000000
+0.0588235294118,0.0000000000000,0.0000000000000
+0.0784313725490,0.0000000000000,0.0000000000000
+0.0980392156863,0.0000000000000,0.0000000000000
+0.1176470588235,0.0000000000000,0.0000000000000
+0.1372549019608,0.0000000000000,0.0000000000000
+0.1568627450980,0.0000000000000,0.0000000000000
+0.1764705882353,0.0000000000000,0.0000000000000
+0.1960784313725,0.0000000000000,0.0000000000000
+0.2156862745098,0.0000000000000,0.0000000000000
+0.2352941176471,0.0000000000000,0.0000000000000
+0.2549019607843,0.0000000000000,0.0000000000000
+0.2745098039216,0.0000000000000,0.0000000000000
+0.2941176470588,0.0000000000000,0.0000000000000
+0.3137254901961,0.0000000000000,0.0000000000000
+0.3333333333333,0.0000000000000,0.0000000000000
+0.3529411764706,0.0000000000000,0.0000000000000
+0.3725490196078,0.0000000000000,0.0000000000000
+0.3921568627451,0.0000000000000,0.0000000000000
+0.4117647058824,0.0000000000000,0.0000000000000
+0.4313725490196,0.0000000000000,0.0000000000000
+0.4509803921569,0.0000000000000,0.0000000000000
+0.4705882352941,0.0000000000000,0.0000000000000
+0.4901960784314,0.0000000000000,0.0000000000000
+0.5098039215686,0.0000000000000,0.0000000000000
+0.5294117647059,0.0000000000000,0.0000000000000
+0.5490196078431,0.0000000000000,0.0000000000000
+0.5686274509804,0.0000000000000,0.0000000000000
+0.5882352941176,0.0000000000000,0.0000000000000
+0.6078431372549,0.0000000000000,0.0000000000000
+0.6274509803922,0.0000000000000,0.0000000000000
+0.6470588235294,0.0000000000000,0.0000000000000
+0.6666666666667,0.0000000000000,0.0000000000000
+0.6862745098039,0.0000000000000,0.0000000000000
+0.7058823529412,0.0000000000000,0.0000000000000
+0.7254901960784,0.0000000000000,0.0000000000000
+0.7450980392157,0.0000000000000,0.0000000000000
+0.7647058823529,0.0000000000000,0.0000000000000
+0.7843137254902,0.0000000000000,0.0000000000000
+0.8039215686275,0.0000000000000,0.0000000000000
+0.8235294117647,0.0000000000000,0.0000000000000
+0.8431372549020,0.0000000000000,0.0000000000000
+0.8627450980392,0.0000000000000,0.0000000000000
+0.8823529411765,0.0000000000000,0.0000000000000
+0.9019607843137,0.0000000000000,0.0000000000000
+0.9215686274510,0.0000000000000,0.0000000000000
+0.9411764705882,0.0000000000000,0.0000000000000
+0.9607843137255,0.0000000000000,0.0000000000000
+0.9803921568627,0.0000000000000,0.0000000000000
+1.0000000000000,0.9128630705394,241.0000000000000
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
+nan,nan,nan
diff --git a/tests/expected/evalp/ROCSS.csv b/tests/expected/evalp/ROCSS.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ab68dea18a015816e96dbd71aca33f6bbbd64567
--- /dev/null
+++ b/tests/expected/evalp/ROCSS.csv
@@ -0,0 +1,4 @@
+0.7108499247114
+0.8017176997760
+0.7130661114003
+nan
diff --git a/tests/expected/evalp/WS.csv b/tests/expected/evalp/WS.csv
new file mode 100644
index 0000000000000000000000000000000000000000..82b07bb09227e378a17fa2a7a485f5371f36cccf
--- /dev/null
+++ b/tests/expected/evalp/WS.csv
@@ -0,0 +1 @@
+764.4471750114835,2578.1382636655953
diff --git a/tests/expected/evalp/WSS.csv b/tests/expected/evalp/WSS.csv
new file mode 100644
index 0000000000000000000000000000000000000000..fd929dabd8f58354be587455dcbd4402d6a9f83d
--- /dev/null
+++ b/tests/expected/evalp/WSS.csv
@@ -0,0 +1 @@
+0.6621887740287,0.4360388849930
diff --git a/tests/test_determinist.py b/tests/test_determinist.py
index 85e0816abea4002120dba6f61e6025bfdf6e4ddb..a330e73bbfc630255b1daff9acc843835c19c74c 100644
--- a/tests/test_determinist.py
+++ b/tests/test_determinist.py
@@ -1,165 +1,206 @@
 import unittest
 import subprocess
 import numpy
+from tempfile import NamedTemporaryFile
 
 
+# path to input data files
 _obs = "./data/evald/obs.csv"
 _prd = "./data/evald/prd.csv"
+_thr = "./data/evald/thr.csv"
+_events = "high"
 _msk = "./data/evald/msk.csv"
 _cdt = "./data/evald/cdt.csv"
 
+# list all available deterministic metrics
+_all_metrics = (
+    # errors-based
+    'MAE', 'MARE', 'MSE', 'RMSE',
+    # efficiencies-based
+    'NSE', 'KGE', 'KGE_D', 'KGEPRIME', 'KGEPRIME_D',
+    # contingency table-based
+    'CONT_TBL'
+)
+
+# list all available deterministic diagnostics
+_all_diags = (
+    'completeness'
+)
+
 
 class TestMetrics(unittest.TestCase):
 
-    def test_metrics_console(self):
-        expected = {
-            'RMSE':
-                "{{{ 777.034272}},\n"
-                " {{ 776.878479}},\n"
-                " {{ 777.800217}},\n"
-                " {{ 778.151082}},\n"
-                " {{ 778.61487 }}}\n",
-            'NSE':
-                "{{{ 0.718912}},\n"
-                " {{ 0.719025}},\n"
-                " {{ 0.718358}},\n"
-                " {{ 0.718104}},\n"
-                " {{ 0.717767}}}\n",
-            'KGE':
-                "{{{ 0.748088}},\n"
-                " {{ 0.746106}},\n"
-                " {{ 0.744111}},\n"
-                " {{ 0.743011}},\n"
-                " {{ 0.741768}}}\n",
-            'KGEPRIME':
-                "{{{ 0.813141}},\n"
-                " {{ 0.812775}},\n"
-                " {{ 0.812032}},\n"
-                " {{ 0.811787}},\n"
-                " {{ 0.811387}}}\n"
-        }
-
-        for metric in expected.keys():
-            # compute each metric in turn with evalhyd evald
-            # and check console output
-            with self.subTest(metric=metric):
-                res = subprocess.run(
-                    ['../build/evalhyd', 'evald', _obs, _prd, metric],
-                    stdout=subprocess.PIPE
-                )
-                self.assertEqual(
-                    res.stdout.decode('utf-8').replace('\r\n', '\n'),
-                    expected[metric]
-                )
+    expected = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evald/{metric}.csv", delimiter=',')
+            [:, numpy.newaxis, numpy.newaxis]
+        ) for metric in _all_metrics
+    }
+    # /!\ stacked-up thresholds in CSV file for CONT_TBL
+    #     because 5D metric so need to reshape array
+    expected['CONT_TBL'] = (
+        expected['CONT_TBL'].reshape(expected['NSE'].shape + (4, 4))
+    )
 
     def test_metrics_to_file(self):
-        expected = {
-            'RMSE':
-                [[[777.03427238]],
-                 [[776.87847854]],
-                 [[777.80021654]],
-                 [[778.15108180]],
-                 [[778.61486998]]],
-            'NSE':
-                [[[0.71891219]],
-                 [[0.71902490]],
-                 [[0.71835777]],
-                 [[0.71810361]],
-                 [[0.71776748]]],
-            'KGE':
-                [[[0.74808767]],
-                 [[0.74610620]],
-                 [[0.74411103]],
-                 [[0.74301085]],
-                 [[0.74176777]]],
-            'KGEPRIME':
-                [[[0.81314075]],
-                 [[0.81277485]],
-                 [[0.81203242]],
-                 [[0.81178671]],
-                 [[0.81138658]]]
-        }
-
         # clean up outputs directory to make sure
         # it is checking newly created files
         subprocess.run(['rm -f ./outputs/*.csv'], shell=True)
 
         # compute all metrics with evalhyd evald
         subprocess.run(
-            ['../build/evalhyd', 'evald', _obs, _prd,
-             *tuple(expected.keys()),
+            ['evalhyd', 'evald', _obs, _prd,
+             *tuple(self.expected.keys()),
+             '--q_thr', _thr, '--events', _events,
              '--to_file', '--out_dir', './outputs']
         )
 
         # read in and check data in CSV files
-        for metric in expected.keys():
+        for metric in self.expected.keys():
             res = numpy.genfromtxt(
                 f"./outputs/evald_{metric}.csv", delimiter=','
-            ).reshape(-1, 1, 1)
+            )[:, numpy.newaxis, numpy.newaxis]
+            if metric == 'CONT_TBL':
+                # /!\ stacked-up thresholds in CSV file for CONT_TBL
+                #     because 5D metric so need to reshape array
+                res = res.reshape(self.expected['CONT_TBL'].shape)
+
             with self.subTest(metric=metric):
                 numpy.testing.assert_almost_equal(
-                    res, expected[metric],
-                    decimal=(3 if metric == "RMSE" else 6)
+                    res, self.expected[metric],
+                    decimal=(0 if metric in ("MSE")
+                             else 3 if metric in ("RMSE", "MAE")
+                             else 5)
                 )
 
 
 class TestTransform(unittest.TestCase):
 
+    obs = numpy.genfromtxt(_obs, delimiter=',')[numpy.newaxis, :]
+    prd = numpy.genfromtxt(_prd, delimiter=',')[:, :]
+    thr = numpy.genfromtxt(_thr, delimiter=',')[:, :]
+
     def test_transform_sqrt(self):
-        self.assertEqual(
-            subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd, 'NSE',
-                 '--transform', 'sqrt'],
-                stdout=subprocess.PIPE
-            ).stdout.decode('utf-8').replace('\r\n', '\n'),
-            "{{{ 0.882817}},\n"
-            " {{ 0.883023}},\n"
-            " {{ 0.883019}},\n"
-            " {{ 0.883029}},\n"
-            " {{ 0.882972}}}\n"
-        )
+
+        obs_trf = NamedTemporaryFile()
+        numpy.savetxt(obs_trf.name, self.obs ** 0.5, delimiter=',')
+        prd_trf = NamedTemporaryFile()
+        numpy.savetxt(prd_trf.name, self.prd ** 0.5, delimiter=',')
+        thr_trf = NamedTemporaryFile()
+        numpy.savetxt(thr_trf.name, self.thr ** 0.5, delimiter=',')
+
+        for metric in _all_metrics:
+            with self.subTest(metric=metric):
+                self.assertEqual(
+                    subprocess.run(
+                        ['evalhyd', 'evald', _obs, _prd, metric,
+                         '--transform', 'sqrt',
+                         '--q_thr', _thr, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8'),
+                    subprocess.run(
+                        ['evalhyd', 'evald', obs_trf.name, prd_trf.name, metric,
+                         '--q_thr', thr_trf.name, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8')
+                )
+
+        obs_trf.close()
+        prd_trf.close()
+        thr_trf.close()
 
     def test_transform_inv(self):
-        self.assertEqual(
-            subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd, 'NSE',
-                 '--transform', 'inv'],
-                stdout=subprocess.PIPE
-            ).stdout.decode('utf-8').replace('\r\n', '\n'),
-            "{{{ 0.737323}},\n"
-            " {{ 0.737404}},\n"
-            " {{ 0.737429}},\n"
-            " {{ 0.737546}},\n"
-            " {{ 0.737595}}}\n"
-        )
+
+        eps = 0.01 * numpy.mean(self.obs)
+
+        obs_trf = NamedTemporaryFile()
+        numpy.savetxt(obs_trf.name, 1 / (self.obs + eps), delimiter=',')
+        prd_trf = NamedTemporaryFile()
+        numpy.savetxt(prd_trf.name, 1 / (self.prd + eps), delimiter=',')
+        thr_trf = NamedTemporaryFile()
+        numpy.savetxt(thr_trf.name, 1 / (self.thr + eps), delimiter=',')
+
+        for metric in _all_metrics:
+            with self.subTest(metric=metric):
+                self.assertEqual(
+                    subprocess.run(
+                        ['evalhyd', 'evald', _obs, _prd, metric,
+                         '--transform', 'inv',
+                         '--q_thr', _thr, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8'),
+                    subprocess.run(
+                        ['evalhyd', 'evald',
+                         obs_trf.name, prd_trf.name, metric,
+                         '--q_thr', thr_trf.name, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8')
+                )
+
+        obs_trf.close()
+        prd_trf.close()
+        thr_trf.close()
 
     def test_transform_log(self):
-        self.assertEqual(
-            subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd, 'NSE',
-                 '--transform', 'log'],
-                stdout=subprocess.PIPE
-            ).stdout.decode('utf-8').replace('\r\n', '\n'),
-            "{{{ 0.893344}},\n"
-            " {{ 0.893523}},\n"
-            " {{ 0.893585}},\n"
-            " {{ 0.893758}},\n"
-            " {{ 0.893793}}}\n"
-        )
+
+        eps = 0.01 * numpy.mean(self.obs)
+
+        obs_trf = NamedTemporaryFile()
+        numpy.savetxt(obs_trf.name, numpy.log(self.obs + eps), delimiter=',')
+        prd_trf = NamedTemporaryFile()
+        numpy.savetxt(prd_trf.name, numpy.log(self.prd + eps), delimiter=',')
+        thr_trf = NamedTemporaryFile()
+        numpy.savetxt(thr_trf.name, numpy.log(self.thr + eps), delimiter=',')
+
+        for metric in _all_metrics:
+            with self.subTest(metric=metric):
+                self.assertEqual(
+                    subprocess.run(
+                        ['evalhyd', 'evald', _obs, _prd, metric,
+                         '--transform', 'log',
+                         '--q_thr', _thr, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8'),
+                    subprocess.run(
+                        ['evalhyd', 'evald',
+                         obs_trf.name, prd_trf.name, metric,
+                         '--q_thr', thr_trf.name, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8')
+                )
+
+        obs_trf.close()
+        prd_trf.close()
+        thr_trf.close()
 
     def test_transform_pow(self):
-        self.assertEqual(
-            subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd, 'NSE',
-                 '--transform', 'pow', '--exponent', '0.3'],
-                stdout=subprocess.PIPE
-            ).stdout.decode('utf-8').replace('\r\n', '\n'),
-            "{{{ 0.898006}},\n"
-            " {{ 0.8982  }},\n"
-            " {{ 0.898246}},\n"
-            " {{ 0.89834 }},\n"
-            " {{ 0.898331}}}\n"
-        )
+
+        obs_trf = NamedTemporaryFile()
+        numpy.savetxt(obs_trf.name, self.obs ** 0.3, delimiter=',')
+        prd_trf = NamedTemporaryFile()
+        numpy.savetxt(prd_trf.name, self.prd ** 0.3, delimiter=',')
+        thr_trf = NamedTemporaryFile()
+        numpy.savetxt(thr_trf.name, self.thr ** 0.3, delimiter=',')
+
+        for metric in _all_metrics:
+            with self.subTest(metric=metric):
+                self.assertEqual(
+                    subprocess.run(
+                        ['evalhyd', 'evald', _obs, _prd, metric,
+                         '--transform', 'pow', '--exponent', '0.3',
+                         '--q_thr', _thr, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8'),
+                    subprocess.run(
+                        ['evalhyd', 'evald', obs_trf.name, prd_trf.name, metric,
+                         '--q_thr', thr_trf.name, '--events', _events],
+                        stdout=subprocess.PIPE
+                    ).stdout.decode('utf-8')
+                )
+
+        obs_trf.close()
+        prd_trf.close()
+        thr_trf.close()
 
 
 class TestMasking(unittest.TestCase):
@@ -167,12 +208,14 @@ class TestMasking(unittest.TestCase):
     def test_masks_vs_conditions(self):
         self.assertEqual(
             subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd, "NSE",
+                ['evalhyd', 'evald', _obs, _prd, *_all_metrics,
+                 '--q_thr', _thr, '--events', _events,
                  '--t_msk', _msk],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8'),
             subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd, "NSE",
+                ['evalhyd', 'evald', _obs, _prd, *_all_metrics,
+                 '--q_thr', _thr, '--events', _events,
                  '--m_cdt', _cdt],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8')
@@ -185,14 +228,15 @@ class TestInterface(unittest.TestCase):
         self.assertEqual(
             # passing command arguments inline
             subprocess.run(
-                ['../build/evalhyd', 'evald', _obs, _prd,
-                 'NSE', 'RMSE', 'KGE', 'KGEPRIME',
-                 '--transform', 'pow', '--exponent', '0.3'],
+                ['evalhyd', 'evald', _obs, _prd,
+                 *_all_metrics,
+                 '--transform', 'pow', '--exponent', '0.3',
+                 '--q_thr', _thr, '--events', _events],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8'),
             # passing command arguments via TOML config file
             subprocess.run(
-                ['../build/evalhyd', '--config', './config/evald.toml', 'evald'],
+                ['evalhyd', '--config', './config/evald.toml', 'evald'],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8')
         )
@@ -201,31 +245,89 @@ class TestInterface(unittest.TestCase):
 class TestUncertainty(unittest.TestCase):
 
     def test_bootstrap(self):
-        for metric in ('NSE', 'RMSE', 'KGE', 'KGEPRIME'):
+        for metric in _all_metrics:
             # compute each metric in turn with evalhyd evald
             # and check console output
             with self.subTest(metric=metric):
                 self.assertEqual(
                     # use one year of data through the year block bootstrapping
                     subprocess.run(
-                        ['../build/evalhyd', 'evald',
+                        ['evalhyd', 'evald',
                          './data/evald/obs_1yr.csv', './data/evald/prd_1yr.csv',
                          metric,
+                         '--q_thr', './data/evald/thr_1yr_3yrs.csv',
+                         '--events', _events,
                          '--bootstrap', 'n_samples', '1', 'len_sample', '3',
                          'summary', '0', '--dts', './data/evald/dts.csv'],
                         stdout=subprocess.PIPE
                     ).stdout.decode('utf-8'),
                     # use three years of data (same year repeated three times)
                     subprocess.run(
-                        ['../build/evalhyd', 'evald',
+                        ['evalhyd', 'evald',
                          './data/evald/obs_3yrs.csv',
                          './data/evald/prd_3yrs.csv',
-                         metric],
+                         metric,
+                         '--q_thr', './data/evald/thr_1yr_3yrs.csv',
+                         '--events', _events],
                         stdout=subprocess.PIPE
                     ).stdout.decode('utf-8')
                 )
 
 
+class TestDiagnostics(unittest.TestCase):
+
+    def test_completeness(self):
+        obs = numpy.array(
+            [[4.7, 4.3, numpy.nan, 2.7, 4.1, 5.0]]
+        )
+        obs_file = NamedTemporaryFile()
+        numpy.savetxt(obs_file.name, obs, delimiter=',')
+
+        prd = numpy.array(
+            [[5.3, numpy.nan, 5.7, 2.3, 3.3, 4.1],
+             [4.3, 4.2, 4.7, 4.3, 3.3, 2.8],
+             [5.3, numpy.nan, 5.7, 2.3, 3.8, numpy.nan]]
+        )
+        prd_file = NamedTemporaryFile()
+        numpy.savetxt(prd_file.name, prd, delimiter=',')
+
+        msk = numpy.array(
+            [[[True, True, True, False, True, True],
+              [True, True, True, True, True, True]],
+             [[True, True, True, True, True, False],
+              [True, True, True, True, True, True]],
+             [[True, True, True, False, False, True],
+              [True, True, True, True, True, True]]]
+        )
+        msk_file = NamedTemporaryFile()
+        numpy.savetxt(msk_file.name, msk.reshape(-1, 6), delimiter=',')
+
+        exp = ("{{{ 0.776745},\n"
+               "  { 0.701783}},\n"
+               " {{ 0.917878},\n"
+               "  { 1.281405}},\n"
+               " {{ 0.6     },\n"
+               "  { 0.450925}}}\n"
+               "{{{ 3.},\n"
+               "  { 4.}},\n"
+               " {{ 4.},\n"
+               "  { 5.}},\n"
+               " {{ 1.},\n"
+               "  { 3.}}}\n")
+
+        res = subprocess.run(
+            ['evalhyd', 'evald', obs_file.name, prd_file.name, 'RMSE',
+             '--t_msk', msk_file.name, '--diagnostics', 'completeness'],
+            stdout=subprocess.PIPE
+        ).stdout.decode('utf-8').replace('\r\n', '\n')
+
+        obs_file.close()
+        prd_file.close()
+        msk_file.close()
+
+        self.assertEqual(res, exp)
+
+
 if __name__ == '__main__':
     test_loader = unittest.TestLoader()
     test_suite = unittest.TestSuite()
diff --git a/tests/test_probabilist.py b/tests/test_probabilist.py
index fbe91d7cb5868db50aa90d017284b70236c87ec4..2c128fe910cf5efd249ab4722472ca4cf6464027 100644
--- a/tests/test_probabilist.py
+++ b/tests/test_probabilist.py
@@ -1,404 +1,295 @@
 import unittest
 import subprocess
 import numpy
+import os
+import tempfile
 
 
 _obs = "./data/evalp/obs"
 _prd = "./data/evalp/prd"
 _thr = "./data/evalp/thr"
+_events = "high"
+_lvl = ("30.", "80.")
 _msk = "./data/evalp/msk"
 _cdt = "./data/evalp/cdt"
 
+# list all available probabilistic metrics
+_all_metrics = (
+    # threshold-based
+    'BS', 'BSS', 'BS_CRD', 'BS_LBD', 'REL_DIAG', 'CRPS_FROM_BS',
+    # CDF-based
+    'CRPS_FROM_ECDF',
+    # quantile-based
+    'QS', 'CRPS_FROM_QS',
+    # contingency table-based
+    'POD', 'POFD', 'FAR', 'CSI', 'ROCSS',
+    # ranks-based
+    'RANK_HIST', 'DS', 'AS',
+    # intervals-based
+    'CR', 'AW', 'AWN', 'AWI', 'WS', 'WSS',
+    # multivariate
+    'ES'
+)
+
+# list all available deterministic diagnostics
+_all_diags = (
+    'completeness'
+)
+
 
 class TestMetrics(unittest.TestCase):
 
-    def test_metrics_console(self):
-        expected_thr = {
-            'BS':
-                "{{{{{ 0.155722,  0.108492,  0.127175,       nan}},\n"
-                "   {{ 0.106151,  0.073956,  0.086692,       nan}}},\n"
-                "  {{{ 0.155722,  0.108492,  0.127175,       nan}},\n"
-                "   {{ 0.106151,  0.073956,  0.086692,       nan}}}},\n"
-                " {{{{ 0.155722,  0.108492,  0.127175,       nan}},\n"
-                "   {{ 0.106151,  0.073956,  0.086692,       nan}}},\n"
-                "  {{{ 0.155722,  0.108492,  0.127175,       nan}},\n"
-                "   {{ 0.106151,  0.073956,  0.086692,       nan}}}},\n"
-                " {{{{ 0.155722,  0.108492,  0.127175,       nan}},\n"
-                "   {{ 0.106151,  0.073956,  0.086692,       nan}}},\n"
-                "  {{{ 0.155722,  0.108492,  0.127175,       nan}},\n"
-                "   {{ 0.106151,  0.073956,  0.086692,       nan}}}}}\n",
-            'BSS':
-                "{{{{{ 0.310262,  0.565683,  0.470517,       nan}},\n"
-                "   {{ 0.570559,  0.666117,  0.563513,       nan}}},\n"
-                "  {{{ 0.310262,  0.565683,  0.470517,       nan}},\n"
-                "   {{ 0.570559,  0.666117,  0.563513,       nan}}}},\n"
-                " {{{{ 0.310262,  0.565683,  0.470517,       nan}},\n"
-                "   {{ 0.570559,  0.666117,  0.563513,       nan}}},\n"
-                "  {{{ 0.310262,  0.565683,  0.470517,       nan}},\n"
-                "   {{ 0.570559,  0.666117,  0.563513,       nan}}}},\n"
-                " {{{{ 0.310262,  0.565683,  0.470517,       nan}},\n"
-                "   {{ 0.570559,  0.666117,  0.563513,       nan}}},\n"
-                "  {{{ 0.310262,  0.565683,  0.470517,       nan}},\n"
-                "   {{ 0.570559,  0.666117,  0.563513,       nan}}}}}\n",
-            'BS_CRD':
-                "{{{{{{ 0.02918 ,  0.099228,  0.22577 },\n"
-                "     { 0.012329,  0.153636,  0.2498  },\n"
-                "     { 0.020892,  0.133905,  0.240188},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.011412,  0.152446,  0.247185},\n"
-                "     { 0.005532,  0.153079,  0.221503},\n"
-                "     { 0.010139,  0.12206 ,  0.198613},\n"
-                "     {      nan,       nan,       nan}}}},\n"
-                "  {{{{ 0.02918 ,  0.099228,  0.22577 },\n"
-                "     { 0.012329,  0.153636,  0.2498  },\n"
-                "     { 0.020892,  0.133905,  0.240188},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.011412,  0.152446,  0.247185},\n"
-                "     { 0.005532,  0.153079,  0.221503},\n"
-                "     { 0.010139,  0.12206 ,  0.198613},\n"
-                "     {      nan,       nan,       nan}}}}},\n"
-                " {{{{{ 0.02918 ,  0.099228,  0.22577 },\n"
-                "     { 0.012329,  0.153636,  0.2498  },\n"
-                "     { 0.020892,  0.133905,  0.240188},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.011412,  0.152446,  0.247185},\n"
-                "     { 0.005532,  0.153079,  0.221503},\n"
-                "     { 0.010139,  0.12206 ,  0.198613},\n"
-                "     {      nan,       nan,       nan}}}},\n"
-                "  {{{{ 0.02918 ,  0.099228,  0.22577 },\n"
-                "     { 0.012329,  0.153636,  0.2498  },\n"
-                "     { 0.020892,  0.133905,  0.240188},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.011412,  0.152446,  0.247185},\n"
-                "     { 0.005532,  0.153079,  0.221503},\n"
-                "     { 0.010139,  0.12206 ,  0.198613},\n"
-                "     {      nan,       nan,       nan}}}}},\n"
-                " {{{{{ 0.02918 ,  0.099228,  0.22577 },\n"
-                "     { 0.012329,  0.153636,  0.2498  },\n"
-                "     { 0.020892,  0.133905,  0.240188},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.011412,  0.152446,  0.247185},\n"
-                "     { 0.005532,  0.153079,  0.221503},\n"
-                "     { 0.010139,  0.12206 ,  0.198613},\n"
-                "     {      nan,       nan,       nan}}}},\n"
-                "  {{{{ 0.02918 ,  0.099228,  0.22577 },\n"
-                "     { 0.012329,  0.153636,  0.2498  },\n"
-                "     { 0.020892,  0.133905,  0.240188},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.011412,  0.152446,  0.247185},\n"
-                "     { 0.005532,  0.153079,  0.221503},\n"
-                "     { 0.010139,  0.12206 ,  0.198613},\n"
-                "     {      nan,       nan,       nan}}}}}}\n",
-            'BS_LBD':
-                "{{{{{{ 0.02521 ,  0.101229,  0.231742},\n"
-                "     { 0.013101,  0.152284,  0.247676},\n"
-                "     { 0.025801,  0.119668,  0.221042},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.01216 ,  0.150623,  0.244615},\n"
-                "     { 0.008032,  0.147387,  0.213311},\n"
-                "     { 0.017191,  0.104822,  0.174323},\n"
-                "     {      nan,       nan,       nan}}}},\n"
-                "  {{{{ 0.02521 ,  0.101229,  0.231742},\n"
-                "     { 0.013101,  0.152284,  0.247676},\n"
-                "     { 0.025801,  0.119668,  0.221042},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.01216 ,  0.150623,  0.244615},\n"
-                "     { 0.008032,  0.147387,  0.213311},\n"
-                "     { 0.017191,  0.104822,  0.174323},\n"
-                "     {      nan,       nan,       nan}}}}},\n"
-                " {{{{{ 0.02521 ,  0.101229,  0.231742},\n"
-                "     { 0.013101,  0.152284,  0.247676},\n"
-                "     { 0.025801,  0.119668,  0.221042},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.01216 ,  0.150623,  0.244615},\n"
-                "     { 0.008032,  0.147387,  0.213311},\n"
-                "     { 0.017191,  0.104822,  0.174323},\n"
-                "     {      nan,       nan,       nan}}}},\n"
-                "  {{{{ 0.02521 ,  0.101229,  0.231742},\n"
-                "     { 0.013101,  0.152284,  0.247676},\n"
-                "     { 0.025801,  0.119668,  0.221042},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.01216 ,  0.150623,  0.244615},\n"
-                "     { 0.008032,  0.147387,  0.213311},\n"
-                "     { 0.017191,  0.104822,  0.174323},\n"
-                "     {      nan,       nan,       nan}}}}},\n"
-                " {{{{{ 0.02521 ,  0.101229,  0.231742},\n"
-                "     { 0.013101,  0.152284,  0.247676},\n"
-                "     { 0.025801,  0.119668,  0.221042},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.01216 ,  0.150623,  0.244615},\n"
-                "     { 0.008032,  0.147387,  0.213311},\n"
-                "     { 0.017191,  0.104822,  0.174323},\n"
-                "     {      nan,       nan,       nan}}}},\n"
-                "  {{{{ 0.02521 ,  0.101229,  0.231742},\n"
-                "     { 0.013101,  0.152284,  0.247676},\n"
-                "     { 0.025801,  0.119668,  0.221042},\n"
-                "     {      nan,       nan,       nan}}},\n"
-                "   {{{ 0.01216 ,  0.150623,  0.244615},\n"
-                "     { 0.008032,  0.147387,  0.213311},\n"
-                "     { 0.017191,  0.104822,  0.174323},\n"
-                "     {      nan,       nan,       nan}}}}}}\n",
-        }
-
-        expected_qtl = {
-            'QS':
-                "{{{{{ 186.522315,  185.729318,  184.84434 ,  183.94775 ,  182.969521, \n"
-                "      182.018142,  181.104318,  180.066763,  179.064042,  178.018868, \n"
-                "      176.941038,  175.873004,  174.889151,  173.889332,  172.853411, \n"
-                "      171.785196,  170.740385,  169.708273,  168.643868,  167.633527, \n"
-                "      166.570755,  165.447388,  164.362119,  163.260522,  162.157656, \n"
-                "      161.080189,  159.896771,  158.75762 ,  157.596335,  156.528302, \n"
-                "      155.366836,  154.128447,  152.906205,  151.733309,  150.536103, \n"
-                "      149.269956,  148.069848,  146.822932,  145.643868,  144.381713, \n"
-                "      143.009978,  141.488752,  140.046807,  138.645138,  137.276125, \n"
-                "      135.864296,  134.308599,  132.50508 ,  130.511248,  127.78193 , \n"
-                "      124.049891}},\n"
-                "   {{ 345.91578 ,  345.069256,  343.129359,  340.709869,  338.281598, \n"
-                "      335.973535,  333.555157,  330.332426,  327.333539,  324.325996, \n"
-                "      321.190082,  318.175117,  315.122186,  311.97205 ,  308.644942, \n"
-                "      305.612169,  302.169552,  298.445956,  294.974648,  291.273807, \n"
-                "      287.724586,  284.101905,  280.235592,  276.21865 ,  272.501484, \n"
-                "      268.652733,  264.740168,  260.8558  ,  256.90329 ,  252.926292, \n"
-                "      248.931239,  244.986396,  240.662998,  236.328964,  232.089785, \n"
-                "      227.387089,  222.976008,  218.699975,  214.099678,  209.67252 , \n"
-                "      205.189587,  200.395746,  195.2372  ,  190.080139,  185.384244, \n"
-                "      180.617858,  174.58323 ,  169.154093,  163.110932,  156.274796, \n"
-                "      147.575315}}},\n"
-                "  {{{ 186.522315,  185.729318,  184.84434 ,  183.94775 ,  182.969521, \n"
-                "      182.018142,  181.104318,  180.066763,  179.064042,  178.018868, \n"
-                "      176.941038,  175.873004,  174.889151,  173.889332,  172.853411, \n"
-                "      171.785196,  170.740385,  169.708273,  168.643868,  167.633527, \n"
-                "      166.570755,  165.447388,  164.362119,  163.260522,  162.157656, \n"
-                "      161.080189,  159.896771,  158.75762 ,  157.596335,  156.528302, \n"
-                "      155.366836,  154.128447,  152.906205,  151.733309,  150.536103, \n"
-                "      149.269956,  148.069848,  146.822932,  145.643868,  144.381713, \n"
-                "      143.009978,  141.488752,  140.046807,  138.645138,  137.276125, \n"
-                "      135.864296,  134.308599,  132.50508 ,  130.511248,  127.78193 , \n"
-                "      124.049891}},\n"
-                "   {{ 345.91578 ,  345.069256,  343.129359,  340.709869,  338.281598, \n"
-                "      335.973535,  333.555157,  330.332426,  327.333539,  324.325996, \n"
-                "      321.190082,  318.175117,  315.122186,  311.97205 ,  308.644942, \n"
-                "      305.612169,  302.169552,  298.445956,  294.974648,  291.273807, \n"
-                "      287.724586,  284.101905,  280.235592,  276.21865 ,  272.501484, \n"
-                "      268.652733,  264.740168,  260.8558  ,  256.90329 ,  252.926292, \n"
-                "      248.931239,  244.986396,  240.662998,  236.328964,  232.089785, \n"
-                "      227.387089,  222.976008,  218.699975,  214.099678,  209.67252 , \n"
-                "      205.189587,  200.395746,  195.2372  ,  190.080139,  185.384244, \n"
-                "      180.617858,  174.58323 ,  169.154093,  163.110932,  156.274796, \n"
-                "      147.575315}}}},\n"
-                " {{{{ 186.522315,  185.729318,  184.84434 ,  183.94775 ,  182.969521, \n"
-                "      182.018142,  181.104318,  180.066763,  179.064042,  178.018868, \n"
-                "      176.941038,  175.873004,  174.889151,  173.889332,  172.853411, \n"
-                "      171.785196,  170.740385,  169.708273,  168.643868,  167.633527, \n"
-                "      166.570755,  165.447388,  164.362119,  163.260522,  162.157656, \n"
-                "      161.080189,  159.896771,  158.75762 ,  157.596335,  156.528302, \n"
-                "      155.366836,  154.128447,  152.906205,  151.733309,  150.536103, \n"
-                "      149.269956,  148.069848,  146.822932,  145.643868,  144.381713, \n"
-                "      143.009978,  141.488752,  140.046807,  138.645138,  137.276125, \n"
-                "      135.864296,  134.308599,  132.50508 ,  130.511248,  127.78193 , \n"
-                "      124.049891}},\n"
-                "   {{ 345.91578 ,  345.069256,  343.129359,  340.709869,  338.281598, \n"
-                "      335.973535,  333.555157,  330.332426,  327.333539,  324.325996, \n"
-                "      321.190082,  318.175117,  315.122186,  311.97205 ,  308.644942, \n"
-                "      305.612169,  302.169552,  298.445956,  294.974648,  291.273807, \n"
-                "      287.724586,  284.101905,  280.235592,  276.21865 ,  272.501484, \n"
-                "      268.652733,  264.740168,  260.8558  ,  256.90329 ,  252.926292, \n"
-                "      248.931239,  244.986396,  240.662998,  236.328964,  232.089785, \n"
-                "      227.387089,  222.976008,  218.699975,  214.099678,  209.67252 , \n"
-                "      205.189587,  200.395746,  195.2372  ,  190.080139,  185.384244, \n"
-                "      180.617858,  174.58323 ,  169.154093,  163.110932,  156.274796, \n"
-                "      147.575315}}},\n"
-                "  {{{ 186.522315,  185.729318,  184.84434 ,  183.94775 ,  182.969521, \n"
-                "      182.018142,  181.104318,  180.066763,  179.064042,  178.018868, \n"
-                "      176.941038,  175.873004,  174.889151,  173.889332,  172.853411, \n"
-                "      171.785196,  170.740385,  169.708273,  168.643868,  167.633527, \n"
-                "      166.570755,  165.447388,  164.362119,  163.260522,  162.157656, \n"
-                "      161.080189,  159.896771,  158.75762 ,  157.596335,  156.528302, \n"
-                "      155.366836,  154.128447,  152.906205,  151.733309,  150.536103, \n"
-                "      149.269956,  148.069848,  146.822932,  145.643868,  144.381713, \n"
-                "      143.009978,  141.488752,  140.046807,  138.645138,  137.276125, \n"
-                "      135.864296,  134.308599,  132.50508 ,  130.511248,  127.78193 , \n"
-                "      124.049891}},\n"
-                "   {{ 345.91578 ,  345.069256,  343.129359,  340.709869,  338.281598, \n"
-                "      335.973535,  333.555157,  330.332426,  327.333539,  324.325996, \n"
-                "      321.190082,  318.175117,  315.122186,  311.97205 ,  308.644942, \n"
-                "      305.612169,  302.169552,  298.445956,  294.974648,  291.273807, \n"
-                "      287.724586,  284.101905,  280.235592,  276.21865 ,  272.501484, \n"
-                "      268.652733,  264.740168,  260.8558  ,  256.90329 ,  252.926292, \n"
-                "      248.931239,  244.986396,  240.662998,  236.328964,  232.089785, \n"
-                "      227.387089,  222.976008,  218.699975,  214.099678,  209.67252 , \n"
-                "      205.189587,  200.395746,  195.2372  ,  190.080139,  185.384244, \n"
-                "      180.617858,  174.58323 ,  169.154093,  163.110932,  156.274796, \n"
-                "      147.575315}}}},\n"
-                " {{{{ 186.522315,  185.729318,  184.84434 ,  183.94775 ,  182.969521, \n"
-                "      182.018142,  181.104318,  180.066763,  179.064042,  178.018868, \n"
-                "      176.941038,  175.873004,  174.889151,  173.889332,  172.853411, \n"
-                "      171.785196,  170.740385,  169.708273,  168.643868,  167.633527, \n"
-                "      166.570755,  165.447388,  164.362119,  163.260522,  162.157656, \n"
-                "      161.080189,  159.896771,  158.75762 ,  157.596335,  156.528302, \n"
-                "      155.366836,  154.128447,  152.906205,  151.733309,  150.536103, \n"
-                "      149.269956,  148.069848,  146.822932,  145.643868,  144.381713, \n"
-                "      143.009978,  141.488752,  140.046807,  138.645138,  137.276125, \n"
-                "      135.864296,  134.308599,  132.50508 ,  130.511248,  127.78193 , \n"
-                "      124.049891}},\n"
-                "   {{ 345.91578 ,  345.069256,  343.129359,  340.709869,  338.281598, \n"
-                "      335.973535,  333.555157,  330.332426,  327.333539,  324.325996, \n"
-                "      321.190082,  318.175117,  315.122186,  311.97205 ,  308.644942, \n"
-                "      305.612169,  302.169552,  298.445956,  294.974648,  291.273807, \n"
-                "      287.724586,  284.101905,  280.235592,  276.21865 ,  272.501484, \n"
-                "      268.652733,  264.740168,  260.8558  ,  256.90329 ,  252.926292, \n"
-                "      248.931239,  244.986396,  240.662998,  236.328964,  232.089785, \n"
-                "      227.387089,  222.976008,  218.699975,  214.099678,  209.67252 , \n"
-                "      205.189587,  200.395746,  195.2372  ,  190.080139,  185.384244, \n"
-                "      180.617858,  174.58323 ,  169.154093,  163.110932,  156.274796, \n"
-                "      147.575315}}},\n"
-                "  {{{ 186.522315,  185.729318,  184.84434 ,  183.94775 ,  182.969521, \n"
-                "      182.018142,  181.104318,  180.066763,  179.064042,  178.018868, \n"
-                "      176.941038,  175.873004,  174.889151,  173.889332,  172.853411, \n"
-                "      171.785196,  170.740385,  169.708273,  168.643868,  167.633527, \n"
-                "      166.570755,  165.447388,  164.362119,  163.260522,  162.157656, \n"
-                "      161.080189,  159.896771,  158.75762 ,  157.596335,  156.528302, \n"
-                "      155.366836,  154.128447,  152.906205,  151.733309,  150.536103, \n"
-                "      149.269956,  148.069848,  146.822932,  145.643868,  144.381713, \n"
-                "      143.009978,  141.488752,  140.046807,  138.645138,  137.276125, \n"
-                "      135.864296,  134.308599,  132.50508 ,  130.511248,  127.78193 , \n"
-                "      124.049891}},\n"
-                "   {{ 345.91578 ,  345.069256,  343.129359,  340.709869,  338.281598, \n"
-                "      335.973535,  333.555157,  330.332426,  327.333539,  324.325996, \n"
-                "      321.190082,  318.175117,  315.122186,  311.97205 ,  308.644942, \n"
-                "      305.612169,  302.169552,  298.445956,  294.974648,  291.273807, \n"
-                "      287.724586,  284.101905,  280.235592,  276.21865 ,  272.501484, \n"
-                "      268.652733,  264.740168,  260.8558  ,  256.90329 ,  252.926292, \n"
-                "      248.931239,  244.986396,  240.662998,  236.328964,  232.089785, \n"
-                "      227.387089,  222.976008,  218.699975,  214.099678,  209.67252 , \n"
-                "      205.189587,  200.395746,  195.2372  ,  190.080139,  185.384244, \n"
-                "      180.617858,  174.58323 ,  169.154093,  163.110932,  156.274796, \n"
-                "      147.575315}}}}}\n",
-            'CRPS':
-                "{{{{ 153.691561},\n"
-                "   { 252.956919}},\n"
-                "  {{ 153.691561},\n"
-                "   { 252.956919}}},\n"
-                " {{{ 153.691561},\n"
-                "   { 252.956919}},\n"
-                "  {{ 153.691561},\n"
-                "   { 252.956919}}},\n"
-                " {{{ 153.691561},\n"
-                "   { 252.956919}},\n"
-                "  {{ 153.691561},\n"
-                "   { 252.956919}}}}\n"
-        }
-
-        # compute each metric in turn with evalhyd evald
-        # and check console output
-        for metric in expected_thr.keys():
-            with self.subTest(metric=metric):
-                res = subprocess.run(
-                    ['../build/evalhyd', 'evalp', _obs, _prd, metric,
-                     '--q_thr', _thr, '--t_msk', _msk],
-                    stdout=subprocess.PIPE
-                )
-                self.assertEqual(
-                    res.stdout.decode('utf-8').replace('\r\n', '\n'),
-                    expected_thr[metric]
-                )
+    expected_thr = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evalp/{metric}.csv", delimiter=',')
+            [numpy.newaxis, numpy.newaxis, numpy.newaxis, numpy.newaxis, ...]
+        ) for metric in ('BS', 'BSS', 'BS_CRD', 'BS_LBD', 'REL_DIAG', 'CRPS_FROM_BS')
+    }
+    # /!\ stacked-up thresholds in CSV file for REL_DIAG
+    #     because 7D metric so need to reshape array
+    expected_thr['REL_DIAG'] = (
+        expected_thr['REL_DIAG'].reshape(expected_thr['BS'].shape + (52, 3))
+    )
 
-        for metric in expected_qtl.keys():
-            with self.subTest(metric=metric):
-                res = subprocess.run(
-                    ['../build/evalhyd', 'evalp', _obs, _prd, metric,
-                     '--t_msk', _msk],
-                    stdout=subprocess.PIPE
-                )
-                self.assertEqual(
-                    res.stdout.decode('utf-8').replace('\r\n', '\n'),
-                    expected_qtl[metric]
+    expected_qtl = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evalp/{metric}.csv", delimiter=',')
+            [numpy.newaxis, numpy.newaxis, numpy.newaxis, numpy.newaxis, ...]
+        ) for metric in ('QS', 'CRPS_FROM_QS')
+    }
+
+    expected_ct = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evalp/{metric}.csv", delimiter=',')
+            [numpy.newaxis, numpy.newaxis, numpy.newaxis, numpy.newaxis, ...]
+        ) for metric in ('POD', 'POFD', 'FAR', 'CSI', 'ROCSS')
+    }
+
+    expected_rk = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evalp/{metric}.csv", delimiter=',')
+            [numpy.newaxis, numpy.newaxis, numpy.newaxis, numpy.newaxis, ...]
+        ) for metric in ('RANK_HIST', 'DS', 'AS')
+    }
+
+    expected_itv = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evalp/{metric}.csv", delimiter=',')
+            [numpy.newaxis, numpy.newaxis, numpy.newaxis, numpy.newaxis, ...]
+        ) for metric in ('CR', 'AW', 'AWN', 'AWI', 'WS', 'WSS')
+    }
+
+    expected_mvr = {
+        metric: (
+            numpy.genfromtxt(f"./expected/evalp/{metric}.csv", delimiter=',')
+            [numpy.newaxis, numpy.newaxis, numpy.newaxis, numpy.newaxis, ...]
+        ) for metric in ('ES',)
+    }
+
+    def test_thresholds_metrics_to_file(self):
+        # clean up outputs directory to make sure
+        # it is checking newly created files
+        subprocess.run(['rm -rf ./outputs/*/*.csv'], shell=True)
+
+        # compute all metrics with evalhyd evald
+        subprocess.run(
+            ['evalhyd', 'evalp', _obs, _prd,
+             *tuple(self.expected_thr.keys()),
+             '--q_thr', _thr, '--events', 'high',
+             '--to_file', '--out_dir', './outputs']
+        )
+
+        # read in and check data in CSV files
+        for metric in self.expected_thr.keys():
+            for lt in ['leadtime_1', 'leadtime_2']:
+                for st in ['site_a', 'site_b', 'site_c']:
+                    res = numpy.genfromtxt(
+                        f"./outputs/{lt}/{st}_{metric}.csv", delimiter=','
+                    )
+                    if metric == 'REL_DIAG':
+                        # /!\ stacked-up thresholds in CSV file for REL_DIAG
+                        #     because 7D metric so need to reshape array
+                        res = res.reshape(self.expected_thr['REL_DIAG'].shape[4:])
+
+                    with self.subTest(metric=metric, leadtime=lt, site=st):
+                        numpy.testing.assert_almost_equal(
+                            res, self.expected_thr[metric][0, 0, 0, 0],
+                            decimal=(3 if metric == 'CRPS_FROM_BS' else 6)
+                        )
+
+    def test_quantiles_metrics_to_file(self):
+        # clean up outputs directory to make sure
+        # it is checking newly created files
+        subprocess.run(['rm -rf ./outputs/*/*.csv'], shell=True)
+
+        # compute all metrics with evalhyd evald
+        subprocess.run(
+            ['evalhyd', 'evalp', _obs, _prd,
+             *tuple(self.expected_qtl.keys()),
+             '--to_file', '--out_dir', './outputs']
+        )
+
+        # read in and check data in CSV files
+        for metric in self.expected_qtl.keys():
+            for lt in ['leadtime_1', 'leadtime_2']:
+                for st in ['site_a', 'site_b', 'site_c']:
+                    res = numpy.genfromtxt(
+                        f"./outputs/{lt}/{st}_{metric}.csv", delimiter=','
+                    )
+
+                    with self.subTest(metric=metric, leadtime=lt, site=st):
+                        numpy.testing.assert_almost_equal(
+                            res, self.expected_qtl[metric][0, 0, 0, 0],
+                            decimal=3
+                        )
+
+    def test_contingency_table_metrics_to_file(self):
+        # clean up outputs directory to make sure
+        # it is checking newly created files
+        subprocess.run(['rm -rf ./outputs/*/*.csv'], shell=True)
+
+        # compute all metrics with evalhyd evald
+        subprocess.run(
+            ['evalhyd', 'evalp', _obs, _prd,
+             *tuple(self.expected_ct.keys()),
+             '--q_thr', _thr, '--events', 'low',
+             '--to_file', '--out_dir', './outputs']
+        )
+
+        # read in and check data in CSV files
+        for metric in self.expected_ct.keys():
+            for lt in ['leadtime_1', 'leadtime_2']:
+                for st in ['site_a', 'site_b', 'site_c']:
+                    res = numpy.genfromtxt(
+                        f"./outputs/{lt}/{st}_{metric}.csv", delimiter=','
+                    )
+
+                    with self.subTest(metric=metric, leadtime=lt, site=st):
+                        numpy.testing.assert_almost_equal(
+                            res, self.expected_ct[metric][0, 0, 0, 0],
+                            decimal=6
+                        )
+
+    def test_ranks_metrics_to_file(self):
+        # subset input data set to include only one site and one lead time
+        # because due the random nature of the ranks-base metrics, the problem
+        # shape has an impact on the random tensor generated, and expected
+        # output files are based on a mono-site mono-leadtime problem
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            obs = os.path.join(tmp_dir, 'obs')
+            prd = os.path.join(tmp_dir, 'prd')
+            if not os.path.exists(obs):
+                os.makedirs(obs)
+            if not os.path.exists(os.path.join(prd, 'leadtime_1')):
+                os.makedirs(os.path.join(prd, 'leadtime_1'))
+
+            numpy.savetxt(
+                os.path.join(obs, 'site_a.csv'),
+                numpy.genfromtxt(
+                    os.path.join(_obs, 'site_a.csv'), delimiter=','
+                )[numpy.newaxis, :],
+                delimiter=','
+            )
+            numpy.savetxt(
+                os.path.join(prd, 'leadtime_1', 'site_a.csv'),
+                numpy.genfromtxt(
+                    os.path.join(_prd, 'leadtime_1', 'site_a.csv'), delimiter=','
+                )[:, :],
+                delimiter=','
+            )
+
+            # clean up outputs directory to make sure
+            # it is checking newly created files
+            subprocess.run(['rm -rf ./outputs/*/*.csv'], shell=True)
+
+            # compute all metrics with evalhyd evald
+            subprocess.run(
+                ['evalhyd', 'evalp', obs, prd,
+                 *tuple(self.expected_rk.keys()),
+                 '--seed', '7', '--to_file', '--out_dir', './outputs']
+            )
+
+            # read in and check data in CSV files
+            for metric in self.expected_rk.keys():
+                res = numpy.genfromtxt(
+                    f"./outputs/leadtime_1/site_a_{metric}.csv", delimiter=','
                 )
 
-    def test_metrics_to_file(self):
-        expected = {
-            'BS':
-                [[0.155722, 0.108492, 0.127175, numpy.nan],
-                 [0.106151, 0.0739562, 0.0866919, numpy.nan]],
-            'BSS':
-                [[0.310262, 0.565683, 0.470517, numpy.nan],
-                 [0.570559, 0.666117, 0.563513, numpy.nan]],
-            'BS_CRD':
-                [[0.0291803, 0.0992281, 0.22577],
-                 [0.0123289, 0.153636, 0.2498],
-                 [0.0208921, 0.133905, 0.240188],
-                 [numpy.nan, numpy.nan, numpy.nan],
-                 [0.0114118, 0.152446, 0.247185],
-                 [0.00553241, 0.153079, 0.221503],
-                 [0.0101394, 0.12206, 0.198613],
-                 [numpy.nan, numpy.nan, numpy.nan]],
-            'BS_LBD':
-                [[0.0252098, 0.101229, 0.231742],
-                 [0.0131006, 0.152284, 0.247676],
-                 [0.0258012, 0.119668, 0.221042],
-                 [numpy.nan, numpy.nan, numpy.nan],
-                 [0.0121599, 0.150623, 0.244615],
-                 [0.00803175, 0.147387, 0.213311],
-                 [0.0171913, 0.104822, 0.174323],
-                 [numpy.nan, numpy.nan, numpy.nan]],
-            'QS':
-                [[186.522, 185.729, 184.844, 183.948, 182.97, 182.018, 181.104,
-                  180.067, 179.064, 178.019, 176.941, 175.873, 174.889, 173.889,
-                  172.853, 171.785, 170.74, 169.708, 168.644, 167.634, 166.571,
-                  165.447, 164.362, 163.261, 162.158, 161.08, 159.897, 158.758,
-                  157.596, 156.528, 155.367, 154.128, 152.906, 151.733, 150.536,
-                  149.27, 148.07, 146.823, 145.644, 144.382, 143.01, 141.489,
-                  140.047, 138.645, 137.276, 135.864, 134.309, 132.505, 130.511,
-                  127.782, 124.05],
-                 [345.916, 345.069, 343.129, 340.71, 338.282, 335.974, 333.555,
-                  330.332, 327.334, 324.326, 321.19, 318.175, 315.122, 311.972,
-                  308.645, 305.612, 302.17, 298.446, 294.975, 291.274, 287.725,
-                  284.102, 280.236, 276.219, 272.501, 268.653, 264.74, 260.856,
-                  256.903, 252.926, 248.931, 244.986, 240.663, 236.329, 232.09,
-                  227.387, 222.976, 218.7, 214.1, 209.673, 205.19, 200.396,
-                  195.237, 190.08, 185.384, 180.618, 174.583, 169.154, 163.111,
-                  156.275, 147.575]],
-            'CRPS':
-                [153.692, 252.957]
-        }
+                with self.subTest(metric=metric):
+                    numpy.testing.assert_almost_equal(
+                        res, self.expected_rk[metric][0, 0, 0, 0],
+                        decimal=(2 if metric == 'DS' else 6)
+                    )
 
+    def test_intervals_metrics_to_file(self):
         # clean up outputs directory to make sure
         # it is checking newly created files
         subprocess.run(['rm -rf ./outputs/*/*.csv'], shell=True)
 
         # compute all metrics with evalhyd evald
         subprocess.run(
-            ['../build/evalhyd', 'evalp', _obs, _prd,
-             *tuple(expected.keys()), '--q_thr', _thr, '--t_msk', _msk,
+            ['evalhyd', 'evalp', _obs, _prd,
+             *tuple(self.expected_itv.keys()),
+             '--c_lvl', *_lvl,
              '--to_file', '--out_dir', './outputs']
         )
 
         # read in and check data in CSV files
-        for metric in expected.keys():
+        for metric in self.expected_itv.keys():
             for lt in ['leadtime_1', 'leadtime_2']:
                 for st in ['site_a', 'site_b', 'site_c']:
                     res = numpy.genfromtxt(
                         f"./outputs/{lt}/{st}_{metric}.csv", delimiter=','
                     )
+
                     with self.subTest(metric=metric, leadtime=lt, site=st):
                         numpy.testing.assert_almost_equal(
-                            res, expected[metric],
-                            decimal=(3 if metric in ("QS", "CRPS") else 6)
+                            res, self.expected_itv[metric][0, 0, 0, 0],
+                            decimal=(2 if metric == 'WS' else
+                                     4 if metric == 'AW' else
+                                     6)
                         )
 
+    def test_multivariate_metrics_to_file(self):
+        # clean up outputs directory to make sure
+        # it is checking newly created files
+        subprocess.run(['rm -rf ./outputs/*/*.csv'], shell=True)
+
+        # compute all metrics with evalhyd evald
+        subprocess.run(
+            ['evalhyd', 'evalp', _obs, _prd,
+             *tuple(self.expected_mvr.keys()),
+             '--to_file', '--out_dir', './outputs']
+        )
+
+        # read in and check data in CSV files
+        for metric in self.expected_mvr.keys():
+            for lt in ['leadtime_1', 'leadtime_2']:
+                res = numpy.genfromtxt(
+                    f"./outputs/{lt}/multisite_{metric}.csv", delimiter=','
+                )
+
+                with self.subTest(metric=metric, leadtime=lt):
+                    numpy.testing.assert_almost_equal(
+                        res, self.expected_mvr[metric][0, 0, 0, 0],
+                        decimal=(3 if metric == 'ES' else 6)
+                    )
+
 
 class TestMasking(unittest.TestCase):
 
     def test_masks_vs_conditions(self):
         self.assertEqual(
             subprocess.run(
-                ['../build/evalhyd', 'evalp', _obs, _prd, "BS",
-                 '--q_thr', _thr, '--t_msk', _msk],
+                ['evalhyd', 'evalp', _obs, _prd, *_all_metrics,
+                 '--q_thr', _thr, '--events', _events, '--c_lvl', *_lvl,
+                 '--seed', '7', '--t_msk', _msk],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8'),
             subprocess.run(
-                ['../build/evalhyd', 'evalp', _obs, _prd, "BS",
-                 '--q_thr', _thr, '--m_cdt', _cdt],
+                ['evalhyd', 'evalp', _obs, _prd, *_all_metrics,
+                 '--q_thr', _thr, '--events', _events, '--c_lvl', *_lvl,
+                 '--seed', '7', '--m_cdt', _cdt],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8')
         )
@@ -410,14 +301,16 @@ class TestInterface(unittest.TestCase):
         self.assertEqual(
             # passing command arguments inline
             subprocess.run(
-                ['../build/evalhyd', 'evalp', _obs, _prd,
-                 "BS", "BSS", "BS_CRD", "BS_LBD", "QS", "CRPS",
-                 '--q_thr', _thr, '--t_msk', _msk],
+                ['evalhyd', 'evalp', _obs, _prd,
+                 *_all_metrics,
+                 '--q_thr', _thr, '--events', _events,
+                 '--c_lvl', *_lvl, '--seed', '7',
+                 '--t_msk', _msk],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8'),
             # passing command arguments via TOML config file
             subprocess.run(
-                ['../build/evalhyd', '--config', './config/evalp.toml', 'evalp'],
+                ['evalhyd', '--config', './config/evalp.toml', 'evalp'],
                 stdout=subprocess.PIPE
             ).stdout.decode('utf-8')
         )
@@ -426,31 +319,107 @@ class TestInterface(unittest.TestCase):
 class TestUncertainty(unittest.TestCase):
 
     def test_bootstrap(self):
-        for metric in ("BS", "BSS", "BS_CRD", "BS_LBD", "QS", "CRPS"):
+        for metric in _all_metrics:
             # compute each metric in turn with evalhyd evald
             # and check console output
             with self.subTest(metric=metric):
+                # skip ranks-based metrics because they contain a random element
+                if metric in ("RANK_HIST", "DS", "AS"):
+                    continue
+
                 self.assertEqual(
                     # use one year of data through the year block bootstrapping
                     subprocess.run(
-                        ['../build/evalhyd', 'evalp',
+                        ['evalhyd', 'evalp',
                          './data/evalp/obs_1yr', './data/evalp/prd_1yr',
-                         metric, '--q_thr', _thr,
+                         metric, '--q_thr', _thr, '--events', _events,
+                         '--c_lvl', *_lvl,
                          '--bootstrap', 'n_samples', '1', 'len_sample', '3',
                          'summary', '0', '--dts', './data/evalp/dts.csv'],
                         stdout=subprocess.PIPE
                     ).stdout.decode('utf-8'),
                     # use three years of data (same year repeated three times)
                     subprocess.run(
-                        ['../build/evalhyd', 'evalp',
+                        ['evalhyd', 'evalp',
                          './data/evalp/obs_3yrs',
                          './data/evalp/prd_3yrs',
-                         metric, '--q_thr', _thr],
+                         metric, '--q_thr', _thr, '--events', _events,
+                         '--c_lvl', *_lvl],
                         stdout=subprocess.PIPE
                     ).stdout.decode('utf-8')
                 )
 
 
+class TestDiagnostics(unittest.TestCase):
+
+    def test_completeness(self):
+        obs = numpy.array(
+            [[4.7, 4.3, numpy.nan, 2.7, 4.1, 5.0]]
+        )
+
+        prd = numpy.array(
+            [[[[5.3, numpy.nan, 5.7, 2.3, 3.3, numpy.nan],
+               [4.3, numpy.nan, 4.7, 4.3, 3.4, numpy.nan],
+               [5.3, numpy.nan, 5.7, 2.3, 3.8, numpy.nan]],
+              [[numpy.nan, 4.2, 5.7, 2.3, 3.1, 4.1],
+               [numpy.nan, 4.2, 4.7, 4.3, 3.3, 2.8],
+               [numpy.nan, 5.2, 5.7, 2.3, 3.9, 3.5]]]]
+        )
+
+        msk = numpy.array(
+            [[[[True, True, True, False, True, True],
+               [True, True, True, True, True, True]],
+              [[True, True, True, True, True, False],
+               [True, True, True, True, True, True]]]]
+        )
+
+        with tempfile.TemporaryDirectory() as tmp_dir:
+            obs_dir = os.path.join(tmp_dir, 'obs')
+            if not os.path.exists(obs_dir):
+                os.makedirs(obs_dir)
+            numpy.savetxt(
+                os.path.join(obs_dir, 'site_a.csv'),
+                obs,
+                delimiter=','
+            )
+
+            prd_dir = os.path.join(tmp_dir, 'prd')
+            msk_dir = os.path.join(tmp_dir, 'msk')
+            for n in [1, 2]:
+                if not os.path.exists(os.path.join(prd_dir, f'leadtime_{n}')):
+                    os.makedirs(os.path.join(prd_dir, f'leadtime_{n}'))
+                if not os.path.exists(os.path.join(msk_dir, f'leadtime_{n}')):
+                    os.makedirs(os.path.join(msk_dir, f'leadtime_{n}'))
+
+                numpy.savetxt(
+                    os.path.join(prd_dir, f'leadtime_{n}', 'site_a.csv'),
+                    prd[0, n-1],
+                    delimiter=','
+                )
+                numpy.savetxt(
+                    os.path.join(msk_dir, f'leadtime_{n}', 'site_a.csv'),
+                    msk[0, n-1],
+                    delimiter=','
+                )
+
+            exp = ("{{{{ 0.246875},\n"
+                   "   { 0.239583}},\n"
+                   "  {{ 0.204167},\n"
+                   "   { 0.323437}}}}\n"
+                   "{{{{ 2.},\n"
+                   "   { 3.}},\n"
+                   "  {{ 3.},\n"
+                   "   { 4.}}}}\n")
+
+            res = subprocess.run(
+                ['evalhyd', 'evalp', obs_dir, prd_dir, 'CRPS_FROM_QS',
+                 '--t_msk', msk_dir, '--diagnostics', 'completeness'],
+                stdout=subprocess.PIPE
+            ).stdout.decode('utf-8').replace('\r\n', '\n')
+
+            self.assertEqual(res, exp)
+
+
 if __name__ == '__main__':
     test_loader = unittest.TestLoader()
     test_suite = unittest.TestSuite()
@@ -467,6 +436,9 @@ if __name__ == '__main__':
     test_suite.addTests(
         test_loader.loadTestsFromTestCase(TestUncertainty)
     )
+    test_suite.addTests(
+        test_loader.loadTestsFromTestCase(TestDiagnostics)
+    )
 
     runner = unittest.TextTestRunner(verbosity=2)
     result = runner.run(test_suite)