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Commit 62c6f3ea authored by Delaigue Olivier's avatar Delaigue Olivier
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v1.1.2.33 CLEAN: example cor simplified in ErrorCrit_* doc

parent 8838c840
dev 115-add-pcict-date-format-managment 118-plot-outputsmodel-remove-case-sensitivity-to-the-which-argument 136-decreased-performance-of-calibration-execution-time 161-runmodel_lag-proposal-for-a-better-transformation-and-screening-of-the-parameters 165-add-missing-isintstore-argument-in-createcaliboptions 171-check-error-direct-call-of-as-data-frame-posixct-is-deprecated-use-as-data-frame-vector-or-as 191-speed-up-runmodel_lag-when-it-is-used-alone 33-merge-airgr-and-airgrplus-functions 60-migrate-transfoparam-functions-and-createcaliboptions-to-s3-methods 96-parallelize-the-grid-screening-step-during-calibration airGRplus master rmOptions CRAN_v1.7.6 CRAN_v1.7.5 CRAN_v1.7.4 CRAN_v1.7.3 CRAN_v1.7.2 CRAN_v1.7.1 CRAN_v1.7.0 CRAN_v1.6.12 CRAN_v1.6.11 CRAN_v1.6.10.4 CRAN_v1.6.9.27 CRAN_v1.6.9.24 CRAN_v1.6.9.23 CRAN_v1.6.9.21 CRAN_v1.4.3.65 CRAN_v1.4.3.60 CRAN_v1.4.3.52 CRAN_v1.3.2.42 CRAN_v1.3.2.41 CRAN_v1.3.2.40 CRAN_v1.3.2.39 CRAN_v1.3.2.23 CRAN_v1.3.2.17 CRAN_v1.2.13.16 CRAN_v1.2.13.13
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DESCRIPTION
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Package: airGR
Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.1.2.32
Date: 2019-01-18
Version: 1.1.2.3
Date: 2019-01-29
Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
person("Charles", "Perrin", role = c("aut", "ths"), comment = c(ORCID = "0000-0001-8552-1881")),
......
NEWS.rmd
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......@@ -13,7 +13,7 @@ output:
### 1.1.2.32 Release Notes (2019-01-18)
### 1.1.2.33 Release Notes (2019-01-29)
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man/ErrorCrit_KGE.Rd
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......@@ -90,9 +90,8 @@ InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsMod
transfo = transfo)
OutputsCrit <- ErrorCrit_KGE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
## efficiency criterion: Kling-Gupta Efficiency above a threshold (q75\%)
BoolCrit <- rep(TRUE, length(BasinObs$Qmm[Ind_Run]));
BoolCrit[BasinObs$Qmm[Ind_Run]<quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)] <- FALSE
## efficiency criterion: Kling-Gupta Efficiency above a threshold (quant. 75 \%)
BoolCrit <- BasinObs$Qmm[Ind_Run] >= quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE, InputsModel = InputsModel,
RunOptions = RunOptions, obs = BasinObs$Qmm[Ind_Run],
BoolCrit = BoolCrit)
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man/ErrorCrit_KGE2.Rd
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......@@ -90,9 +90,8 @@ InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE2, InputsModel = InputsMo
transfo = transfo)
OutputsCrit <- ErrorCrit_KGE2(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
## efficiency criterion: Kling-Gupta Efficiency above a threshold (q75\%)
BoolCrit <- rep(TRUE, length(BasinObs$Qmm[Ind_Run]));
BoolCrit[BasinObs$Qmm[Ind_Run]<quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)] <- FALSE
## efficiency criterion: Kling-Gupta Efficiency above a threshold (quant. 75 \%)
BoolCrit <- BasinObs$Qmm[Ind_Run] >= quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_KGE2, InputsModel = InputsModel,
RunOptions = RunOptions, obs = BasinObs$Qmm[Ind_Run],
BoolCrit = BoolCrit)
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man/ErrorCrit_NSE.Rd
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......@@ -83,9 +83,8 @@ InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsMod
transfo = transfo)
OutputsCrit <- ErrorCrit_NSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
## efficiency criterion: Nash-Sutcliffe Efficiency above a threshold (q75\%)
BoolCrit <- rep(TRUE, length(BasinObs$Qmm[Ind_Run]));
BoolCrit[BasinObs$Qmm[Ind_Run]<quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)] <- FALSE
## efficiency criterion: Kling-Gupta Efficiency above a threshold (quant. 75 \%)
BoolCrit <- BasinObs$Qmm[Ind_Run] >= quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel,
RunOptions = RunOptions, obs = BasinObs$Qmm[Ind_Run],
BoolCrit = BoolCrit)
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man/ErrorCrit_RMSE.Rd
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......@@ -81,9 +81,8 @@ InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_RMSE, InputsModel = InputsMo
transfo = transfo)
OutputsCrit <- ErrorCrit_RMSE(InputsCrit = InputsCrit, OutputsModel = OutputsModel)
## efficiency criterion: root-mean-square error above a threshold (q75\%)
BoolCrit <- rep(TRUE, length(BasinObs$Qmm[Ind_Run]));
BoolCrit[BasinObs$Qmm[Ind_Run]<quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)] <- FALSE
## efficiency criterion: Kling-Gupta Efficiency above a threshold (quant. 75 \%)
BoolCrit <- BasinObs$Qmm[Ind_Run] >= quantile(BasinObs$Qmm[Ind_Run], 0.75, na.rm = TRUE)
InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_RMSE, InputsModel = InputsModel,
RunOptions = RunOptions, obs = BasinObs$Qmm[Ind_Run],
BoolCrit = BoolCrit)
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