v1.2.12.32 DOC: ErrorCrit examples now use Weights argument of CreateIntputsCrit instead of weight

DESCRIPTION

 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.2.12.31
+Version: 1.2.12.32
 Date: 2019-04-01
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),

NEWS.rmd

@@ -13,7 +13,7 @@ output:
 
 
 
-### 1.2.12.31 Release Notes (2019-04-01) 
+### 1.2.12.32 Release Notes (2019-04-01) 
 
 
 

man/ErrorCrit.Rd

@@ -84,7 +84,7 @@ InputsCritSingle <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE,
                                      InputsModel = InputsModel, RunOptions = RunOptions,
                                      Obs = list(BasinObs$Qmm[Ind_Run]),
                                      VarObs = "Q", transfo = "",
-                                     weight = NULL) 
+                                     Weights = NULL) 
 str(ErrorCrit(InputsCrit = InputsCritSingle, OutputsModel = OutputsModel))
 
 ## 2 efficiency critera:  RMSE and the Nash-Sutcliffe Efficiency
@@ -92,7 +92,7 @@ InputsCritMulti <- CreateInputsCrit(FUN_CRIT = list(ErrorCrit_RMSE, ErrorCrit_NS
                                     InputsModel = InputsModel, RunOptions = RunOptions,
                                     Obs = list(BasinObs$Qmm[Ind_Run], BasinObs$Qmm[Ind_Run]),
                                     VarObs = list("Q", "Q"), transfo = list("", "sqrt"),
-                                    weight = NULL) 
+                                    Weights = NULL) 
 str(ErrorCrit(InputsCrit = InputsCritMulti, OutputsModel = OutputsModel))
 
 ## efficiency composite criterion: Nash-Sutcliffe Efficiency mixing
@@ -101,7 +101,7 @@ InputsCritCompo <- CreateInputsCrit(FUN_CRIT = list(ErrorCrit_NSE, ErrorCrit_NSE
                                     InputsModel = InputsModel, RunOptions = RunOptions,
                                     Obs = list(BasinObs$Qmm[Ind_Run], BasinObs$Qmm[Ind_Run]),
                                     VarObs = list("Q", "Q"), transfo = list("", "log"),
-                                    weight = list(0.4, 0.6)) 
+                                    Weights = list(0.4, 0.6)) 
 str(ErrorCrit(InputsCrit = InputsCritCompo, OutputsModel = OutputsModel))
 }