Folder reorganization

[valse.git] / R / selectiontotale.R

diff --git a/R/selectiontotale.R b/R/selectiontotale.R
deleted file mode 100644 (file)
index 1690386..0000000
--- a/R/selectiontotale.R
+++ /dev/null
@@ -1,26 +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,thresh,tau){
-  require(parallel)
-    cl = parallel::makeCluster( parallel::detectCores() / 4 ) # <-- ça devrait être un argument
-    parallel::clusterExport(cl=cl,
-                            varlist=c("phiInit","rhoInit","gamInit","mini","maxi","glambda","X","Y","thresh","tau"),
-                            envir=environment())
-    #Pour chaque lambda de la grille, on calcule les coefficients
-    out = parLapply( 1:length(glambda), 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$phi[j,,]) > thresh, 1, any ) ]
-      })
-      
-      list("selected"=selectedVariables,"Rho"=params$Rho,"Pi"=params$Pi)
-    })
-    parallel::stopCluster(cl)
-  }
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