diff --git a/README.Rmd b/README.Rmd
index d66a79c..962dd0e 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -37,7 +37,8 @@ All the numerical parameters which values can be provided to the model through i
Planned features, installation and examples of use are described in the following sections. The list of functions accessible to the users is provided in this [webpage](https://sticsrpacks.github.io/CroptimizR/reference/index.html).
-** The package is under intensive development and is still in a beta version. **
+**The package is under intensive development and is still in a beta version.**
+
You can fill an issue or request a feature [here](https://github.com/SticsRPacks/CroptimizR/issues) at any time.
diff --git a/README.md b/README.md
index 4dc09f8..f16e0fb 100644
--- a/README.md
+++ b/README.md
@@ -16,17 +16,11 @@ coverage](https://codecov.io/gh/SticsRPacks/CroptimizR/branch/master/graph/badge
This package is dedicated to Probabilistic Uncertainty analysis,
Sensitivity analysis and Parameter estimation for crop models.
-It is under intensive development, so you can fill an issue or request a
-feature [here](https://github.com/SticsRPacks/CroptimizR/issues) at any
-time. The list of functions accessible to the users is provided in this
-[webpage](https://sticsrpacks.github.io/CroptimizR/reference/index.html).
-
For the moment, only parameter estimation functions have been
developped. The
([`estim_param`](https://sticsrpacks.github.io/CroptimizR/reference/estim_param.html))
-function can be used to perform parameter estimation using multi-start
-Nelder-Meade simplexe minimization of [different least square
-criteria](https://sticsrpacks.github.io/CroptimizR/reference/ls_criteria.html).
+function can be used to perform parameter estimation using [different
+methods](https://SticsRPacks.github.io/CroptimizR/articles/Available_parameter_estimation_algorithms.html).
Functionnalities for simultaneous estimation of varietal and specific
plant parameters on multi-varietal datasets are provided (see
@@ -52,7 +46,15 @@ estimation methods (although it may not work well for integer
parameters).
Planned features, installation and examples of use are described in the
-following sections.
+following sections. The list of functions accessible to the users is
+provided in this
+[webpage](https://sticsrpacks.github.io/CroptimizR/reference/index.html).
+
+**The package is under intensive development and is still in a beta
+version.**
+
+You can fill an issue or request a feature
+[here](https://github.com/SticsRPacks/CroptimizR/issues) at any time.
## Planned features
@@ -223,6 +225,9 @@ plant parameters is given
An example using the ApsimX model is detailed
[here](https://SticsRPacks.github.io/CroptimizR/articles/ApsimX_parameter_estimation_simple_case.html).
+An example using the DREAM-zs Bayesian algorithm is detailed
+[here](https://SticsRPacks.github.io/CroptimizR/articles/Parameter_estimation_DREAM.html).
+
See
[here](https://sticsrpacks.github.io/CroptimizR/reference/estim_param.html)
for a detailed description of the input and output arguments of the
diff --git a/docs/index.html b/docs/index.html
index baefe09..716e027 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -117,7 +117,8 @@
Guidelines for developping a wrapper for your favourite crop model are given in the following vignette.
All the numerical parameters which values can be provided to the model through its R wrapper can be estimated using the provided parameter estimation methods (although it may not work well for integer parameters).
Planned features, installation and examples of use are described in the following sections. The list of functions accessible to the users is provided in this webpage.
-** The package is under intensive development and is still in a beta version. ** You can fill an issue or request a feature here at any time.
+The package is under intensive development and is still in a beta version.
+You can fill an issue or request a feature here at any time.