#' 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)
#'
#' @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)
{
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)