Index: tol/stdlib/math/stat/models/bayesian/BysMcmc/BysMcmc.tol
===================================================================
--- tol/stdlib/math/stat/models/bayesian/BysMcmc/BysMcmc.tol	(revision 7b732b01629844dbbfad362e9a28229fc03e3d23)
+++ tol/stdlib/math/stat/models/bayesian/BysMcmc/BysMcmc.tol	(revision d92d42e6ca0bc65640d373a48b48f5d3ae0b8f2e)
@@ -11,6 +11,25 @@
 [[
   //read only autodoc
-  Text _.autodoc.description =
+  Text _.autodoc.brief =
   "Generic MonteCarlo Markov Chain methods and some applications.";
+  Text _.autodoc.description = 
+  "Simulación e inferencia bayesianas de tipo MonteCarlo-Markov Chain (MCMC) "
+  "mediante el algoritmo de Gibbs, sobre modelos de regresión lineal sparse "
+  "con estructura arbitraria (jerárquicos, redes bayesianas, ...) con "
+  "restricciones de desigualdad lineal, con tratamiento de omitidos y "
+  "filtros no lineales, ambas tanto en el input como en el output, así como "
+  "con estructuras ARIMA.\n"
+  "https://www.tol-project.org/export/HEAD/tolp/trunk/doc/modeling/"
+  "BSR/BSR_Bayesian_Sparse_Regression.pdf";
+  Text _.autodoc.url = "";
+  Set _.autodoc.keys = [["model", "bayesian","simulation", "MCMC", 
+    "Motecarlo","Markov", "chain", "Gibbs", "hierarchical", "ARIMA",
+    "network", "constrain", "missing", "non linear" ]];
+  Set _.autodoc.authors = [[ "vdebuen@tol-project.org"]];
+  Text _.autodoc.minTolVersion = TolReleaseId;
+  Real _.autodoc.version.high = 1;
+  Real _.autodoc.version.low = 1;
+  Set _.autodoc.dependencies = Copy(Empty);
+
   //private implementation
   #Embed "_structs.tol";