X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=R%2Fselectiontotale.R;fp=R%2Fselectiontotale.R;h=0000000000000000000000000000000000000000;hp=673bc3ba2e2b75a0bc7c73d5c246c9cb385630ea;hb=7064275b23125c87a30fbdbd690eeb4d8c557420;hpb=928d1c52c786ec94be64c4bc8123ab8a98727b6e

diff --git a/R/selectiontotale.R b/R/selectiontotale.R
deleted file mode 100644
index 673bc3b..0000000
--- a/R/selectiontotale.R
+++ /dev/null
@@ -1,25 +0,0 @@
-#Return a list of outputs, for each lambda in grid: selected,Rho,Pi
-selectiontotale = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau)
-{
-	cl = parallel::makeCluster( parallel::detectCores() / 4 )
-	parallel::clusterExport(cl=cl,
-		varlist=c("phiInit","rhoInit","gamInit","mini","maxi","glambda","X","Y","seuil","tau"),
-		envir=environment())
-	#Pour chaque lambda de la grille, on calcule les coefficients
-	out = parLapply( 1:L, function(lambdaindex)
-	{
-		params = EMGLLF(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau)
-
-		p = dim(phiInit)[1]
-		m = dim(phiInit)[2]
-		#selectedVariables: list where element j contains vector of selected variables in [1,m]
-		selectedVariables = lapply(1:p, function(j) {
-			#from boolean matrix mxk of selected variables obtain the corresponding boolean m-vector,
-			#and finally return the corresponding indices
-			seq_len(m)[ apply( abs(params$phi[j,,]) > seuil, 1, any ) ]
-		})
-
-		list("selected"=selectedVariables,"Rho"=params$Rho,"Pi"=params$Pi)
-	})
-	parallel::stopCluster(cl)
-}