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Commit f5730cc1 authored by Delaigue Olivier's avatar Delaigue Olivier
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v1.2.13.8 DOC: minor type revision in param optim vignette

parent 83b90720
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 Package: airGR
Type: Package Type: Package
Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Version: 1.2.13.7 Version: 1.2.13.8
Date: 2019-04-02 Date: 2019-04-02
Authors@R: c( Authors@R: c(
person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")), person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
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NEWS.rmd
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...@@ -13,7 +13,7 @@ output: ...@@ -13,7 +13,7 @@ output:
### 1.2.13.7 Release Notes (2019-04-02) ### 1.2.13.8 Release Notes (2019-04-02)
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vignettes/V02.1_param_optim.Rmd
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...@@ -108,7 +108,7 @@ We can then extract the best parameter sets and the value of the performance cri ...@@ -108,7 +108,7 @@ We can then extract the best parameter sets and the value of the performance cri
```{r, warning=FALSE, results='hide', eval=FALSE} ```{r, warning=FALSE, results='hide', eval=FALSE}
parPORT <- t(sapply(listOptPORT, function(x) x$par)) parPORT <- t(sapply(listOptPORT, function(x) x$par))
objPORT <- sapply(listOptPORT, function(x) x$objective) objPORT <- sapply(listOptPORT, function(x) x$objective)
parPORT <- data.frame(parPORT, RMSE = objPORT) parPORT <- data.frame(parPORT, RMSE = objPORT)
``` ```
As can be seen below, the optimum performance criterion values (column *objective*) can differ from the global optimum value in many cases, resulting in various parameter sets. As can be seen below, the optimum performance criterion values (column *objective*) can differ from the global optimum value in many cases, resulting in various parameter sets.
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