X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FR%2FselectVariables.R;h=0c18c6797e47554c29d7a5851087f9c77f1172e5;hp=eb6c5907060287b237220c7c1c59fdf4dace1003;hb=859c30ec72871f923da0498c14a94e67b0219875;hpb=f32535f2bc8d50470aa87204bbd7971805dbc9ef

diff --git a/pkg/R/selectVariables.R b/pkg/R/selectVariables.R
index eb6c590..0c18c67 100644
--- a/pkg/R/selectVariables.R
+++ b/pkg/R/selectVariables.R
@@ -1,6 +1,6 @@
 #' selectVariables
 #'
-#' It is a function which construct, for a given lambda, the sets of relevant variables.
+#' It is a function which constructs, for a given lambda, the sets for each cluster of relevant variables.
 #'
 #' @param phiInit an initial estimator for phi (size: p*m*k)
 #' @param rhoInit an initial estimator for rho (size: m*m*k)
@@ -18,10 +18,7 @@
 #'
 #' @return a list of outputs, for each lambda in grid: selected,Rho,Pi
 #'
-#' @examples TODO
-#'
 #' @export
-#'
 selectVariables <- function(phiInit, rhoInit, piInit, gamInit, mini, maxi, gamma,
   glambda, X, Y, thresh = 1e-08, eps, ncores = 3, fast)
 {
@@ -69,9 +66,7 @@ selectVariables <- function(phiInit, rhoInit, piInit, gamInit, mini, maxi, gamma
     parallel::stopCluster(cl)
 
   print(out)
-  # Suppress models which are computed twice En fait, ca ca fait la comparaison de
-  # tous les parametres On veut juste supprimer ceux qui ont les memes variables
-  # sélectionnées
+  # Suppress models which are computed twice 
   # sha1_array <- lapply(out, digest::sha1) out[ duplicated(sha1_array) ]
   selec <- lapply(out, function(model) model$selected)
   ind_dup <- duplicated(selec)