Package as sent to CRAN

[valse.git] / pkg / R / constructionModelesLassoMLE.R

diff --git a/pkg/R/constructionModelesLassoMLE.R b/pkg/R/constructionModelesLassoMLE.R
index 2d04adb..fd0cd4d 100644 (file)
--- a/pkg/R/constructionModelesLassoMLE.R
+++ b/pkg/R/constructionModelesLassoMLE.R
@@ -21,7 +21,7 @@
 #'
 #' @export
 constructionModelesLassoMLE <- function(phiInit, rhoInit, piInit, gamInit, mini,
-  maxi, gamma, X, Y, eps, S, ncores = 3, fast, verbose)
+  maxi, gamma, X, Y, eps, S, ncores, fast, verbose)
 {
   if (ncores > 1)
   {
@@ -51,8 +51,9 @@ constructionModelesLassoMLE <- function(phiInit, rhoInit, piInit, gamInit, mini,
       return(NULL)
 
     # lambda == 0 because we compute the EMV: no penalization here
-    res <- EMGLLF(array(phiInit,dim=c(p,m,k))[col.sel, , ], rhoInit, piInit, gamInit,
-      mini, maxi, gamma, 0, as.matrix(X[, col.sel]), Y, eps, fast)
+    res <- EMGLLF(array(phiInit[col.sel, , ], dim=c(length(col.sel),m,k)),
+      rhoInit, piInit, gamInit, mini, maxi, gamma, 0,
+      as.matrix(X[, col.sel]), Y, eps, fast)
 
     # Eval dimension from the result + selected
     phiLambda2 <- res$phi
@@ -101,7 +102,7 @@ constructionModelesLassoMLE <- function(phiInit, rhoInit, piInit, gamInit, mini,
   # For each lambda, computation of the parameters
   out <-
     if (ncores > 1) {
-      parLapply(cl, 1:length(S), computeAtLambda)
+      parallel::parLapply(cl, 1:length(S), computeAtLambda)
     } else {
       lapply(1:length(S), computeAtLambda)
     }