From 0789ac6bd5b757120caa7af61f9c3ce822472b0f Mon Sep 17 00:00:00 2001
From: Delaigue Olivier <olivier.delaigue@irstea.fr>
Date: Wed, 6 Jan 2021 14:25:47 +0100
Subject: [PATCH] v1.6.8.40 docs(authors): update authors list in manu
 functions

---
 DESCRIPTION               |  2 +-
 NEWS.md                   |  2 +-
 man/Calibration_Michel.Rd | 34 +++++++++++++++++-----------------
 man/CreateCalibOptions.Rd |  2 +-
 man/RunModel_Lag.Rd       |  2 +-
 5 files changed, 21 insertions(+), 21 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index f154b487..385ae259 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.6.8.39
+Version: 1.6.8.40
 Date: 2021-01-06
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
diff --git a/NEWS.md b/NEWS.md
index 05ae3222..446d3337 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,7 +2,7 @@
 
 
 
-### 1.6.8.39 Release Notes (2021-01-06)
+### 1.6.8.40 Release Notes (2021-01-06)
 
 #### New features
 
diff --git a/man/Calibration_Michel.Rd b/man/Calibration_Michel.Rd
index c6328228..60439df6 100644
--- a/man/Calibration_Michel.Rd
+++ b/man/Calibration_Michel.Rd
@@ -11,7 +11,7 @@
 \description{
 Calibration algorithm that optimises the error criterion selected as objective function. \cr
 \cr
-The algorithm combines a global and a local approach. 
+The algorithm combines a global and a local approach.
 First, a screening is performed using either a rough predefined grid or a list of parameter sets.
 Then a steepest descent local search algorithm is performed, starting from the result of the screening procedure.
 }
@@ -59,18 +59,18 @@ Calibration_Michel(InputsModel, RunOptions, InputsCrit, CalibOptions,
 
 
 \details{
-A screening is first performed either based on a rough predefined grid (considering various initial 
+A screening is first performed either based on a rough predefined grid (considering various initial
 values for each parameter) or from a list of initial parameter sets. \cr
-The best set identified in this screening is then used as a starting point for the steepest 
+The best set identified in this screening is then used as a starting point for the steepest
 descent local search algorithm. \cr
 For this search, since the ranges of parameter values can be quite different,
 simple mathematical transformations are applied to parameters to make them vary
 in a similar range and get a similar sensitivity to a predefined search step.  This is done using the TransfoParam functions. \cr
-During the steepest descent method, at each iteration, we start from a parameter set of NParam values (NParam being the number of 
-free parameters of the chosen hydrological model) and we determine the 2*NParam-1 new candidates 
+During the steepest descent method, at each iteration, we start from a parameter set of NParam values (NParam being the number of
+free parameters of the chosen hydrological model) and we determine the 2*NParam-1 new candidates
 by changing one by one the different parameters (+/- search step). \cr
-All these candidates are tested and the best one kept to be the starting point for the next    
-iteration. At the end of each iteration, the the search step is either increased or decreased to adapt    
+All these candidates are tested and the best one kept to be the starting point for the next
+iteration. At the end of each iteration, the the search step is either increased or decreased to adapt
 the progression speed. A composite step can occasionally be done. \cr
 The calibration algorithm stops when the search step becomes smaller than a predefined threshold.
 }
@@ -83,27 +83,27 @@ library(airGR)
 data(L0123001)
 
 ## preparation of InputsModel object
-InputsModel <- CreateInputsModel(FUN_MOD = RunModel_GR4J, DatesR = BasinObs$DatesR, 
+InputsModel <- CreateInputsModel(FUN_MOD = RunModel_GR4J, DatesR = BasinObs$DatesR,
                                  Precip = BasinObs$P, PotEvap = BasinObs$E)
 
 ## calibration period selection
-Ind_Run <- seq(which(format(BasinObs$DatesR, format = "\%Y-\%m-\%d")=="1990-01-01"), 
+Ind_Run <- seq(which(format(BasinObs$DatesR, format = "\%Y-\%m-\%d")=="1990-01-01"),
                which(format(BasinObs$DatesR, format = "\%Y-\%m-\%d")=="1999-12-31"))
 
 ## preparation of RunOptions object
-RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel, 
+RunOptions <- CreateRunOptions(FUN_MOD = RunModel_GR4J, InputsModel = InputsModel,
                                IndPeriod_Run = Ind_Run)
 
 ## calibration criterion: preparation of the InputsCrit object
-InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, 
+InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel,
                                RunOptions = RunOptions, Obs = BasinObs$Qmm[Ind_Run])
 
 ## preparation of CalibOptions object
 CalibOptions <- CreateCalibOptions(FUN_MOD = RunModel_GR4J, FUN_CALIB = Calibration_Michel)
 
 ## calibration
-OutputsCalib <- Calibration_Michel(InputsModel = InputsModel, RunOptions = RunOptions, 
-                                 InputsCrit = InputsCrit, CalibOptions = CalibOptions, 
+OutputsCalib <- Calibration_Michel(InputsModel = InputsModel, RunOptions = RunOptions,
+                                 InputsCrit = InputsCrit, CalibOptions = CalibOptions,
                                  FUN_MOD = RunModel_GR4J)
 
 ## simulation
@@ -115,19 +115,19 @@ OutputsModel <- RunModel_GR4J(InputsModel = InputsModel,
 plot(OutputsModel, Qobs = BasinObs$Qmm[Ind_Run])
 
 ## efficiency criterion: Nash-Sutcliffe Efficiency
-InputsCrit  <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, 
+InputsCrit  <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel,
                                 RunOptions = RunOptions, Obs = BasinObs$Qmm[Ind_Run])
 OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
 
 ## efficiency criterion: Kling-Gupta Efficiency
-InputsCrit  <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel, 
+InputsCrit  <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel,
                                 RunOptions = RunOptions, Obs = BasinObs$Qmm[Ind_Run])
 OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
 }
 
 
 \author{
-Laurent Coron, Claude Michel, Charles Perrin, Thibault Mathevet, Olivier Delaigue, Guillaume Thirel
+Laurent Coron, Claude Michel, Charles Perrin, Thibault Mathevet, Olivier Delaigue, Guillaume Thirel, David Dorchies
 }
 
 
@@ -141,7 +141,7 @@ Michel, C. (1991),
 \seealso{
 \code{\link{Calibration}},
 \code{\link{RunModel_GR4J}}, \code{\link{TransfoParam}}, \code{\link{ErrorCrit_RMSE}},
-\code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}}, 
+\code{\link{CreateInputsModel}}, \code{\link{CreateRunOptions}},
 \code{\link{CreateInputsCrit}}, \code{\link{CreateCalibOptions}}.
 }
 
diff --git a/man/CreateCalibOptions.Rd b/man/CreateCalibOptions.Rd
index 0d9bbf3f..b418995a 100644
--- a/man/CreateCalibOptions.Rd
+++ b/man/CreateCalibOptions.Rd
@@ -141,7 +141,7 @@ OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsMode
 
 
 \author{
-Laurent Coron, Olivier Delaigue, Guillaume Thirel
+Laurent Coron, Olivier Delaigue, Guillaume Thirel, David Dorchies
 }
 
 
diff --git a/man/RunModel_Lag.Rd b/man/RunModel_Lag.Rd
index 1bbd897d..f2fffafb 100644
--- a/man/RunModel_Lag.Rd
+++ b/man/RunModel_Lag.Rd
@@ -90,7 +90,7 @@ plot(OutputsModel, Qobs = OutputsModel$QsimDown)
 
 
 \author{
-Olivier Delaigue, David Dorchies
+Olivier Delaigue, David Dorchies, Guillaume Thirel
 }
 
 
-- 
GitLab