v1.0.9.76 param_optim vignette updated (set.seed to have a good convergence with malschains)

e5c97da6 · Delaigue Olivier · 0772b294 · e5c97da6 · e5c97da6 · e5c97da6
Commit e5c97da6 authored 7 years ago by Delaigue Olivier
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--- a/DESCRIPTION
+++ b/DESCRIPTION
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.0.9.75
+Version: 1.0.9.76
-Date: 2018-02-01
+Date: 2018-04-04
 Authors@R: c(
  person("Laurent", "Coron", role = c("aut", "trl")),
  person("Charles", "Perrin", role = c("aut", "ths")),

--- a/NEWS.rmd
+++ b/NEWS.rmd
@@ -14,7 +14,7 @@ output:
-### 1.0.9.75 Release Notes (2018-02-01) 
+### 1.0.9.765 Release Notes (2018-04-04) 
 ____________________________________________________________________________________

--- a/vignettes/V02.1_param_optim.Rmd
+++ b/vignettes/V02.1_param_optim.Rmd
@@ -16,7 +16,7 @@ library(DEoptim)
 library(hydroPSO)
 library(Rmalschains)
 # source("airGR.R")
-set.seed(123)
+set.seed(321)
 ```
@@ -154,7 +154,7 @@ optMALS <- Rmalschains::malschains(fn = OptimGR4J,
 As it can be seen in the table below, the four additional optimization strategies tested lead to very close optima.
 ```{r, warning=FALSE, echo=FALSE}
-data.frame(Algo = c("Michel", "PORT", "DE", "PSO", "MA-LS"), 
+data.frame(Algo = c("airGR", "PORT", "DE", "PSO", "MA-LS"), 
           round(rbind(
                                                OutputsCalib$ParamFinalR                          ,
             airGR::TransfoParam_GR4J(ParamIn = optPORT$par                    , Direction = "TR"),