#' selectVariables
#'
-#' It is a function which constructs, for a given lambda, the sets for each cluster of relevant variables.
+#' For a given lambda, construct the sets of relevant variables for each cluster.
#'
#' @param phiInit an initial estimator for phi (size: p*m*k)
#' @param rhoInit an initial estimator for rho (size: m*m*k)
#' @param ncores Number or cores for parallel execution (1 to disable)
#' @param fast boolean to enable or not the C function call
#'
-#' @return a list of outputs, for each lambda in grid: selected,Rho,Pi
+#' @return a list, varying lambda in a grid, with selected (the indices of variables that are selected),
+#' Rho (the covariance parameter, reparametrized), Pi (the proportion parameter)
#'
#' @export
selectVariables <- function(phiInit, rhoInit, piInit, gamInit, mini, maxi, gamma,
if (ncores > 1)
parallel::stopCluster(cl)
- print(out)
- # Suppress models which are computed twice
+ # 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)