diff --git a/DESCRIPTION b/DESCRIPTION
index 2f8e52f391217bf8a316c46c998fb8db6faf96a1..f9176b68264567674b20eefa39720daa3cae7335 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.0.9.62
-Date: 2017-11-09
+Version: 1.0.9.63
+Date: 2017-11-10
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl")),
   person("Charles", "Perrin", role = c("aut", "ths")),
diff --git a/NEWS.rmd b/NEWS.rmd
index 97bfe0560b8231b746640a4f6e0fa7fd9b31775e..605ab7426190780a3863dd4d851ea60c235e8205 100644
--- a/NEWS.rmd
+++ b/NEWS.rmd
@@ -14,7 +14,7 @@ output:
 
 
 
-### 1.0.9.62 Release Notes (2017-11-09) 
+### 1.0.9.63 Release Notes (2017-11-10) 
 
 #### New features
 
diff --git a/vignettes/V02.2_param_mcmc.Rmd b/vignettes/V02.2_param_mcmc.Rmd
index 5db9cfa080e8d1aa0c205a0606509bbcfb4f55bb..ab4feb30d12c2cf19b66a740dc7a27a252d64da9 100644
--- a/vignettes/V02.2_param_mcmc.Rmd
+++ b/vignettes/V02.2_param_mcmc.Rmd
@@ -139,14 +139,14 @@ In addition, graphical tools can be used, with for example the [ggmcmc](https://
 
 First, the evolution of the Markov chains can be seen with a traceplot:
 
-```{r, fig.width=6, fig.height=9}
+```{r, fig.width=6, fig.height=9, warning=FALSE}
 ParamDRAM <- ggmcmc::ggs(MultDRAM) ## to convert objet for using by all ggs_* graphical functions
 ggmcmc::ggs_traceplot(ParamDRAM)
 
 ```
 
 The posterior density for each parameter can then be visualised:
-```{r, fig.width=6, fig.height=9}
+```{r, fig.width=6, fig.height=9, warning=FALSE}
 ParamDRAM_burn <- dplyr::filter(ParamDRAM, Iteration > 1000) # to keep only the second half of the series
 ggmcmc::ggs_density(ParamDRAM_burn)
 ```
diff --git a/vignettes/V03_param_sets_GR4J.Rmd b/vignettes/V03_param_sets_GR4J.Rmd
index 3916b8b7e67cc2c4c52bf7f80e64be1375d32c6f..4e9fe5700224c10036a1f9e75f99810da647a8b9 100644
--- a/vignettes/V03_param_sets_GR4J.Rmd
+++ b/vignettes/V03_param_sets_GR4J.Rmd
@@ -44,7 +44,7 @@ data(L0123001)
 data(Param_Sets_GR4J)
 ```
 
-The given GR4J **X4u** variable does not correspond to the actual GR4J **X4** parameter. As explained in @andreassian_seeking_2014 [section 2.1], the given GR4J **X4u** value has to be adjusted (rescaled) using catchment area (S) [km2] as follows: $X4 = X4u / 5.995 \times S^{0.3}$ (please note that **the formula is erroneous in the publication**).
+The given GR4J **X4u** variable does not correspond to the actual GR4J **X4** parameter. As explained in @andreassian_seeking_2014 [section 2.1], the given GR4J **X4u** value has to be adjusted (rescaled) using catchment area (S) [km2] as follows: `X4 = X4u / 5.995 * S^0.3` (please= note that **the formula is erroneous in the publication**).
 
 It means we need first to transform the **X4** parameter.