docs(vignette): remove the use of dplyr in the 'mcmc' vignette (and in the...

docs(vignette): remove the use of dplyr in the 'mcmc' vignette (and in the 'Suggests' list of the DESCRIPTION file)

DESCRIPTION

@@ -28,7 +28,7 @@ Imports:
   utils
 Suggests:
   knitr, markdown, rmarkdown,
-  caRamel, coda, DEoptim, dplyr, FME, ggmcmc, hydroPSO, Rmalschains,
+  caRamel, coda, DEoptim, FME, ggmcmc, hydroPSO, Rmalschains,
   GGally, ggplot2,
   testthat
 Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.

vignettes/V02.2_param_mcmc.Rmd

@@ -15,8 +15,6 @@ library(airGR)
 library(coda)
 library(FME)
 library(ggmcmc)
-library(dplyr)
-# source("airGR.R")
 set.seed(123)
 load(system.file("vignettesData/vignetteParamMCMC.rda", package = "airGR"))
 ```
@@ -160,7 +158,7 @@ ggmcmc::ggs_traceplot(parDRAM)
 
 The posterior density for each parameter can then be visualised:
 ```{r, fig.width=6, fig.height=9, warning=FALSE}
-burnParDRAM <- dplyr::filter(parDRAM, Iteration > 1000) # to keep only the second half of the series
+burnParDRAM <- parDRAM[parDRAM$Iteration > 1000, ] # to keep only the second half of the series
 ggmcmc::ggs_density(burnParDRAM)
 ```