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Resolve "Check conditionnal test in Calibration"

Merged Dorchies David requested to merge 73-check-conditionnal-test-in-calibration into dev
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+ 101
− 232
R/Calibration_Michel.R
+ 72
− 203
Calibration_Michel <- function(InputsModel,
RunOptions,
InputsCrit,
Calibration_Michel <- function(InputsModel,
RunOptions,
InputsCrit,
CalibOptions,
FUN_MOD,
FUN_MOD,
FUN_CRIT, # deprecated
FUN_TRANSFO = NULL,
FUN_TRANSFO = NULL,
verbose = TRUE) {
FUN_MOD <- match.fun(FUN_MOD)
if (!missing(FUN_CRIT)) {
FUN_CRIT <- match.fun(FUN_CRIT)
}
# Handling 'FUN_TRANSFO' from direct argument or provided by 'CaliOptions'
if (!is.null(FUN_TRANSFO)) {
FUN_TRANSFO <- match.fun(FUN_TRANSFO)
} else if(!is.null(CalibOptions$FUN_TRANSFO)) {
FUN_TRANSFO <- CalibOptions$FUN_TRANSFO
} else {
stop("'FUN_TRANSFO' is not provided neither as 'FUN_TRANSFO' argument or in 'CaliOptions' argument")
}
##_____Arguments_check_____________________________________________________________________
if (!inherits(InputsModel, "InputsModel")) {
stop("'InputsModel' must be of class 'InputsModel'")
}
}
if (!inherits(RunOptions, "RunOptions")) {
stop("'RunOptions' must be of class 'RunOptions'")
}
}
if (!inherits(InputsCrit, "InputsCrit")) {
stop("'InputsCrit' must be of class 'InputsCrit'")
}
@@ -46,151 +51,15 @@ Calibration_Michel <- function(InputsModel,
}
if (!inherits(CalibOptions, "CalibOptions")) {
stop("'CalibOptions' must be of class 'CalibOptions'")
}
}
if (!inherits(CalibOptions, "HBAN")) {
stop("'CalibOptions' must be of class 'HBAN' if 'Calibration_Michel' is used")
}
if (!missing(FUN_CRIT)) {
warning("argument 'FUN_CRIT' is deprecated. The error criterion function is now automatically get from the 'InputsCrit' object")
}
##_check_FUN_TRANSFO
if (is.null(FUN_TRANSFO)) {
if (identical(FUN_MOD, RunModel_GR4H) | identical(FUN_MOD, RunModel_CemaNeigeGR4H)) {
FUN1 <- TransfoParam_GR4H
}
if (identical(FUN_MOD, RunModel_GR5H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H)) {
FUN1 <- TransfoParam_GR5H
}
if (identical(FUN_MOD, RunModel_GR4J) | identical(FUN_MOD, RunModel_CemaNeigeGR4J)) {
FUN1 <- TransfoParam_GR4J
}
if (identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J)) {
FUN1 <- TransfoParam_GR5J
}
if (identical(FUN_MOD, RunModel_GR6J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
FUN1 <- TransfoParam_GR6J
}
if (identical(FUN_MOD, RunModel_GR2M )) {
FUN1 <- TransfoParam_GR2M
}
if (identical(FUN_MOD, RunModel_GR1A )) {
FUN1 <- TransfoParam_GR1A
}
##_set_FUN_LAG
if (inherits(CalibOptions, "SD")) {
FUN_LAG <- TransfoParam_Lag
}
if (identical(FUN_MOD, RunModel_CemaNeige )) {
if (inherits(CalibOptions, "hysteresis")) {
FUN_TRANSFO <- TransfoParam_CemaNeigeHyst
} else {
FUN_TRANSFO <- TransfoParam_CemaNeige
}
}
if (identical(FUN_MOD, RunModel_GR4H) | identical(FUN_MOD, RunModel_GR5H) |
identical(FUN_MOD, RunModel_GR4J) | identical(FUN_MOD, RunModel_GR5J) | identical(FUN_MOD, RunModel_GR6J)) {
if (!inherits(CalibOptions, "SD")) {
FUN_TRANSFO <- FUN1
} else {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
ParamIn <- rbind(ParamIn)
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 2:NParam] <- FUN1(ParamIn[, 2:NParam], Direction)
ParamOut[, 1 ] <- FUN_LAG(as.matrix(ParamIn[, 1]), Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
}
}
if (identical(FUN_MOD, RunModel_CemaNeigeGR4H) | identical(FUN_MOD, RunModel_CemaNeigeGR5H) |
identical(FUN_MOD, RunModel_CemaNeigeGR4J) | identical(FUN_MOD, RunModel_CemaNeigeGR5J) | identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
if (inherits(CalibOptions, "hysteresis")) {
FUN2 <- TransfoParam_CemaNeigeHyst
} else {
FUN2 <- TransfoParam_CemaNeige
}
if (inherits(CalibOptions, "hysteresis") & !inherits(CalibOptions, "SD")) {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
ParamIn <- rbind(ParamIn)
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 1:(NParam-4)] <- FUN1(ParamIn[, 1:(NParam-4)], Direction)
ParamOut[, (NParam-3):NParam ] <- FUN2(ParamIn[, (NParam-3):NParam ], Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
}
if (!inherits(CalibOptions, "hysteresis") & !inherits(CalibOptions, "SD")) {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
ParamIn <- rbind(ParamIn)
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 1:(NParam-2)] <- FUN1(ParamIn[, 1:(NParam-2)], Direction)
ParamOut[, (NParam-1):NParam ] <- FUN2(ParamIn[, (NParam-1):NParam ], Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
}
if (inherits(CalibOptions, "hysteresis") & inherits(CalibOptions, "SD")) {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
ParamIn <- rbind(ParamIn)
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 2:(NParam-4)] <- FUN1( ParamIn[, 2:(NParam-4)], Direction)
ParamOut[, (NParam-3):NParam] <- FUN2( ParamIn[, (NParam-3):NParam], Direction)
ParamOut[, 1 ] <- FUN_LAG(as.matrix(ParamIn[, 1 ]), Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
}
if (!inherits(CalibOptions, "hysteresis") & inherits(CalibOptions, "SD")) {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
if (!Bool) {
ParamIn <- rbind(ParamIn)
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 2:(NParam-2)] <- FUN1( ParamIn[, 2:(NParam-2)], Direction)
ParamOut[, (NParam-1):NParam] <- FUN2( ParamIn[, (NParam-1):NParam], Direction)
ParamOut[, 1 ] <- FUN_LAG(as.matrix(ParamIn[, 1 ]), Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
return(ParamOut)
}
}
}
if (is.null(FUN_TRANSFO)) {
stop("'FUN_TRANSFO' was not found (in 'Calibration' function)")
}
}
##_variables_initialisation
##_variables_initialisation
ParamFinalR <- NULL
ParamFinalT <- NULL
CritFinal <- NULL
@@ -219,20 +88,20 @@ Calibration_Michel <- function(InputsModel,
CritOptim <- +1e100
##_temporary_change_of_Outputs_Sim
RunOptions$Outputs_Sim <- RunOptions$Outputs_Cal ### this reduces the size of the matrix exchange with fortran and therefore speeds the calibration
##_____Parameter_Grid_Screening____________________________________________________________
##Definition_of_the_function_creating_all_possible_parameter_sets_from_different_values_for_each_parameter
ProposeCandidatesGrid <- function(DistribParam) {
NewCandidates <- expand.grid(lapply(seq_len(ncol(DistribParamR)), function(x) DistribParam[, x]))
NewCandidates <- unique(NewCandidates) # to avoid duplicates when a parameter is set
Output <- list(NewCandidates = NewCandidates)
}
}
##Creation_of_new_candidates_______________________________________________
OptimParam <- is.na(CalibOptions$FixedParam)
if (PrefilteringType == 1) {
@@ -253,7 +122,7 @@ Calibration_Michel <- function(InputsModel,
} else {
CandidatesParamR <- cbind(CandidatesParamR)
}
##Loop_to_test_the_various_candidates______________________________________
iNewOptim <- 0
Ncandidates <- nrow(CandidatesParamR)
@@ -272,12 +141,12 @@ Calibration_Michel <- function(InputsModel,
if (iNew == round(k / 10 * Ncandidates)) {
message(" ", 10 * k, "%", appendLF = FALSE)
}
}
}
}
##Model_run
Param <- CandidatesParamR[iNew, ]
OutputsModel <- RunModel(InputsModel, RunOptions, Param, FUN_MOD = FUN_MOD)
##Calibration_criterion_computation
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
if (!is.na(OutputsCrit$CritValue)) {
@@ -296,8 +165,8 @@ Calibration_Michel <- function(InputsModel,
if (verbose & Ncandidates > 1) {
message(" 100%)\n", appendLF = FALSE)
}
##End_of_first_step_Parameter_Screening____________________________________
ParamStartR <- CandidatesParamR[iNewOptim, ]
if (!is.matrix(ParamStartR)) {
@@ -320,13 +189,13 @@ Calibration_Michel <- function(InputsModel,
HistParamR[1, ] <- ParamStartR
HistParamT[1, ] <- ParamStartT
HistCrit[1, ] <- CritStart
##_____Steepest_Descent_Local_Search_______________________________________________________
##Definition_of_the_function_creating_new_parameter_sets_through_a_step_by_step_progression_procedure
ProposeCandidatesLoc <- function(NewParamOptimT, OldParamOptimT, RangesT, OptimParam, Pace) {
##Format_checking
@@ -377,11 +246,11 @@ Calibration_Michel <- function(InputsModel,
Output$NewCandidatesT <- matrix(VECT, ncol = NParam, byrow = TRUE)
return(Output)
}
##Initialisation_of_variables
if (verbose) {
message("Steepest-descent local search in progress")
message("Steepest-descent local search in progress")
}
Pace <- 0.64
PaceDiag <- rep(0, NParam)
@@ -393,18 +262,18 @@ Calibration_Michel <- function(InputsModel,
RangesT <- FUN_TRANSFO(RangesR, "RT")
NewParamOptimT <- ParamStartT
OldParamOptimT <- ParamStartT
##START_LOOP_ITER_________________________________________________________
for (ITER in 1:(100 * NParam)) {
##Exit_loop_when_Pace_becomes_too_small___________________________________
if (Pace < 0.01) {
break
}
##Creation_of_new_candidates______________________________________________
CandidatesParamT <- ProposeCandidatesLoc(NewParamOptimT, OldParamOptimT, RangesT, OptimParam, Pace)$NewCandidatesT
CandidatesParamR <- FUN_TRANSFO(CandidatesParamT, "TR")
@@ -418,8 +287,8 @@ Calibration_Michel <- function(InputsModel,
} else {
CandidatesParamR <- cbind(CandidatesParamR)
}
##Loop_to_test_the_various_candidates_____________________________________
iNewOptim <- 0
for (iNew in 1:nrow(CandidatesParamR)) {
@@ -427,7 +296,7 @@ Calibration_Michel <- function(InputsModel,
Param <- CandidatesParamR[iNew, ]
OutputsModel <- RunModel(InputsModel, RunOptions, Param, FUN_MOD = FUN_MOD)
##Calibration_criterion_computation
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
OutputsCrit <- ErrorCrit(InputsCrit, OutputsModel, verbose = FALSE)
if (!is.na(OutputsCrit$CritValue)) {
if (OutputsCrit$CritValue * OutputsCrit$Multiplier < CritOptim) {
CritOptim <- OutputsCrit$CritValue * OutputsCrit$Multiplier
@@ -436,8 +305,8 @@ Calibration_Michel <- function(InputsModel,
}
}
NRuns <- NRuns + nrow(CandidatesParamR)
##When_a_progress_has_been_achieved_______________________________________
if (iNewOptim != 0) {
##We_store_the_optimal_set
@@ -452,7 +321,7 @@ Calibration_Michel <- function(InputsModel,
##We_update_PaceDiag
VectPace <- NewParamOptimT-OldParamOptimT
for (iC in 1:NParam) {
if (OptimParam[iC]) {
if (OptimParam[iC]) {
PaceDiag[iC] <- CLG * PaceDiag[iC] + (1-CLG) * VectPace[iC]
}
}
@@ -461,8 +330,8 @@ Calibration_Michel <- function(InputsModel,
Pace <- Pace / 2
Compt <- 0
}
##Test_of_an_additional_candidate_using_diagonal_progress_________________
if (ITER > 4 * NParam) {
NRuns <- NRuns + 1
@@ -498,34 +367,34 @@ Calibration_Michel <- function(InputsModel,
OldParamOptimT <- NewParamOptimT
NewParamOptimT <- matrix(CandidatesParamT[iNewOptim, 1:NParam], nrow = 1)
}
}
##Results_archiving_______________________________________________________
NewParamOptimR <- FUN_TRANSFO(NewParamOptimT, "TR")
HistParamR[ITER+1, ] <- NewParamOptimR
HistParamT[ITER+1, ] <- NewParamOptimT
HistCrit[ITER+1, ] <- CritOptim
### if (verbose) { cat(paste("\t Iter ",formatC(ITER,format="d",width=3), " Crit ",formatC(CritOptim,format="f",digits=4), " Pace ",formatC(Pace,format="f",digits=4), "\n",sep=""))}
} ##END_LOOP_ITER_________________________________________________________
ITER <- ITER - 1
##Case_when_the_starting_parameter_set_remains_the_best_solution__________
if (CritOptim == CritStart & verbose) {
if (CritOptim == CritStart & verbose) {
message("\t No progress achieved")
}
##End_of_Steepest_Descent_Local_Search____________________________________
ParamFinalR <- NewParamOptimR
ParamFinalT <- NewParamOptimT
CritFinal <- CritOptim
NIter <- 1 + ITER
if (verbose) {
if (verbose) {
message(sprintf("\t Calibration completed (%s iterations, %s runs)", NIter, NRuns))
message("\t Param = ", paste(sprintf("%8.3f", ParamFinalR), collapse = ", "))
message(sprintf("\t Crit. %-12s = %.4f", CritName, CritFinal * Multiplier))
@@ -547,13 +416,13 @@ Calibration_Michel <- function(InputsModel,
colnames(HistParamT) <- paste0("Param", 1:NParam)
HistCrit <- cbind(HistCrit[1:NIter, ])
###colnames(HistCrit) <- paste("HistCrit")
BoolCrit_Actual <- InputsCrit$BoolCrit
BoolCrit_Actual[OutputsCrit$Ind_notcomputed] <- FALSE
MatBoolCrit <- cbind(InputsCrit$BoolCrit, BoolCrit_Actual)
colnames(MatBoolCrit) <- c("BoolCrit_Requested", "BoolCrit_Actual")
##_____Output______________________________________________________________________________
OutputsCalib <- list(ParamFinalR = as.double(ParamFinalR), CritFinal = CritFinal * Multiplier,
NIter = NIter, NRuns = NRuns,
@@ -562,7 +431,7 @@ Calibration_Michel <- function(InputsModel,
CritName = CritName, CritBestValue = CritBestValue)
class(OutputsCalib) <- c("OutputsCalib", "HBAN")
return(OutputsCalib)
}
R/CreateCalibOptions.R
+ 26
− 26
@@ -105,46 +105,46 @@ CreateCalibOptions <- function(FUN_MOD,
##_set_FUN1
if (identical(FUN_MOD, RunModel_GR4H) |
identical(FUN_MOD, RunModel_CemaNeigeGR4H)) {
FUN1 <- TransfoParam_GR4H
FUN_GR <- TransfoParam_GR4H
}
if (identical(FUN_MOD, RunModel_GR5H) |
identical(FUN_MOD, RunModel_CemaNeigeGR5H)) {
FUN1 <- TransfoParam_GR5H
FUN_GR <- TransfoParam_GR5H
}
if (identical(FUN_MOD, RunModel_GR4J) |
identical(FUN_MOD, RunModel_CemaNeigeGR4J)) {
FUN1 <- TransfoParam_GR4J
FUN_GR <- TransfoParam_GR4J
}
if (identical(FUN_MOD, RunModel_GR5J) |
identical(FUN_MOD, RunModel_CemaNeigeGR5J)) {
FUN1 <- TransfoParam_GR5J
FUN_GR <- TransfoParam_GR5J
}
if (identical(FUN_MOD, RunModel_GR6J) |
identical(FUN_MOD, RunModel_CemaNeigeGR6J)) {
FUN1 <- TransfoParam_GR6J
FUN_GR <- TransfoParam_GR6J
}
if (identical(FUN_MOD, RunModel_GR2M)) {
FUN1 <- TransfoParam_GR2M
FUN_GR <- TransfoParam_GR2M
}
if (identical(FUN_MOD, RunModel_GR1A)) {
FUN1 <- TransfoParam_GR1A
FUN_GR <- TransfoParam_GR1A
}
if (identical(FUN_MOD, RunModel_CemaNeige)) {
if (IsHyst) {
FUN1 <- TransfoParam_CemaNeigeHyst
FUN_GR <- TransfoParam_CemaNeigeHyst
} else {
FUN1 <- TransfoParam_CemaNeige
FUN_GR <- TransfoParam_CemaNeige
}
}
if (is.null(FUN1)) {
stop("'FUN1' was not found")
if (is.null(FUN_GR)) {
stop("'FUN_GR' was not found")
return(NULL)
}
##_set_FUN2
if (IsHyst) {
FUN2 <- TransfoParam_CemaNeigeHyst
FUN_NEIGE <- TransfoParam_CemaNeigeHyst
} else {
FUN2 <- TransfoParam_CemaNeige
FUN_NEIGE <- TransfoParam_CemaNeige
}
##_set_FUN_LAG
if (IsSD) {
@@ -153,7 +153,7 @@ CreateCalibOptions <- function(FUN_MOD,
##_set_FUN_TRANSFO
if (sum(ObjectClass %in% c("GR4H", "GR5H", "GR4J", "GR5J", "GR6J", "GR2M", "GR1A", "CemaNeige")) > 0) {
if (!IsSD) {
FUN_TRANSFO <- FUN1
FUN_TRANSFO <- FUN_GR
} else {
FUN_TRANSFO <- function(ParamIn, Direction) {
Bool <- is.matrix(ParamIn)
@@ -162,7 +162,7 @@ CreateCalibOptions <- function(FUN_MOD,
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 2:NParam] <- FUN1(ParamIn[, 2:NParam], Direction)
ParamOut[, 2:NParam] <- FUN_GR(ParamIn[, 2:NParam], Direction)
ParamOut[, 1 ] <- FUN_LAG(as.matrix(ParamIn[, 1]), Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
@@ -179,8 +179,8 @@ CreateCalibOptions <- function(FUN_MOD,
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 1:(NParam - 4) ] <- FUN1(ParamIn[, 1:(NParam - 4) ], Direction)
ParamOut[, (NParam - 3):NParam] <- FUN2(ParamIn[, (NParam - 3):NParam], Direction)
ParamOut[, 1:(NParam - 4) ] <- FUN_GR(ParamIn[, 1:(NParam - 4) ], Direction)
ParamOut[, (NParam - 3):NParam] <- FUN_NEIGE(ParamIn[, (NParam - 3):NParam], Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
@@ -196,11 +196,11 @@ CreateCalibOptions <- function(FUN_MOD,
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
if (NParam <= 3) {
ParamOut[, 1:(NParam - 2)] <- FUN1(cbind(ParamIn[, 1:(NParam - 2)]), Direction)
ParamOut[, 1:(NParam - 2)] <- FUN_GR(cbind(ParamIn[, 1:(NParam - 2)]), Direction)
} else {
ParamOut[, 1:(NParam - 2)] <- FUN1( ParamIn[, 1:(NParam - 2)], Direction)
ParamOut[, 1:(NParam - 2)] <- FUN_GR( ParamIn[, 1:(NParam - 2)], Direction)
}
ParamOut[, (NParam - 1):NParam] <- FUN2(ParamIn[, (NParam - 1):NParam], Direction)
ParamOut[, (NParam - 1):NParam] <- FUN_NEIGE(ParamIn[, (NParam - 1):NParam], Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
}
@@ -215,8 +215,8 @@ CreateCalibOptions <- function(FUN_MOD,
}
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
ParamOut[, 2:(NParam - 4) ] <- FUN1( ParamIn[, 2:(NParam - 4) ], Direction)
ParamOut[, (NParam - 3):NParam] <- FUN2( ParamIn[, (NParam - 3):NParam], Direction)
ParamOut[, 2:(NParam - 4) ] <- FUN_GR( ParamIn[, 2:(NParam - 4) ], Direction)
ParamOut[, (NParam - 3):NParam] <- FUN_NEIGE( ParamIn[, (NParam - 3):NParam], Direction)
ParamOut[, 1 ] <- FUN_LAG(as.matrix(ParamIn[, 1 ]), Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
@@ -233,11 +233,11 @@ CreateCalibOptions <- function(FUN_MOD,
ParamOut <- NA * ParamIn
NParam <- ncol(ParamIn)
if (NParam <= 3) {
ParamOut[, 2:(NParam - 2)] <- FUN1(cbind(ParamIn[, 2:(NParam - 2)]), Direction)
ParamOut[, 2:(NParam - 2)] <- FUN_GR(cbind(ParamIn[, 2:(NParam - 2)]), Direction)
} else {
ParamOut[, 2:(NParam - 2)] <- FUN1( ParamIn[, 2:(NParam - 2)], Direction)
ParamOut[, 2:(NParam - 2)] <- FUN_GR( ParamIn[, 2:(NParam - 2)], Direction)
}
ParamOut[, (NParam - 1):NParam] <- FUN2( ParamIn[, (NParam - 1):NParam], Direction)
ParamOut[, (NParam - 1):NParam] <- FUN_NEIGE( ParamIn[, (NParam - 1):NParam], Direction)
ParamOut[, 1 ] <- FUN_LAG(as.matrix(ParamIn[, 1]), Direction)
if (!Bool) {
ParamOut <- ParamOut[1, ]
@@ -472,7 +472,7 @@ CreateCalibOptions <- function(FUN_MOD,
##Create_CalibOptions
CalibOptions <- list(FixedParam = FixedParam, SearchRanges = SearchRanges)
CalibOptions <- list(FixedParam = FixedParam, SearchRanges = SearchRanges, FUN_TRANSFO = FUN_TRANSFO)
if (!is.null(StartParamList)) {
CalibOptions <- c(CalibOptions, list(StartParamList = StartParamList))
DESCRIPTION
+ 2
− 2
Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.6.3.73
Date: 2020-11-24
Version: 1.6.3.74
Date: 2020-12-31
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
person("Olivier", "Delaigue", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7668-8468"), email = "airGR@inrae.fr"),
NEWS.md
+ 1
− 1
@@ -4,7 +4,7 @@
### 1.6.3.73 Release Notes (2020-11-24)
### 1.6.3.74 Release Notes (2020-12-31)
#### New features