docs(vignette): review style in param_optim and param_sets_GR4J

vignettes/V02.1_param_optim.Rmd

@@ -205,6 +205,7 @@ resGLOB
 
 Multiobjective optimization is used to explore possible trade-offs between different performances criteria.
 Here we use the following R implementation of an efficient strategy:
+
 * [caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm](https://cran.r-project.org/package=caRamel)
 
 Motivated by using the rainfall-runoff model for low flow simulation, we explore the trade-offs between the KGE values obtained without any data transformation and with the inverse transformation.

vignettes/V03_param_sets_GR4J.Rmd

@@ -141,7 +141,7 @@ Now we can compute the Nash-Sutcliffe Efficiency criterion on the validation per
 
 
 
-# Calibration of the GR4J model with the built-in `Calibration_Michel()` function
+# Calibration of the GR4J model with the built-in Calibration_Michel function
 
 As seen above, the Michel's calibration algorithm is based on a local search procedure.