X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2FR%2Fselectiontotale.R;fp=pkg%2FR%2Fselectiontotale.R;h=0000000000000000000000000000000000000000;hb=4cc632c9a1e1d93e9a43a402d1361f23afc50e5e;hp=2cdac38f87d7c4c4fd1944b3e13a61b8f90a471e;hpb=086ca318ed5580e961ceda3f1e122a2da58e4427;p=valse.git

diff --git a/pkg/R/selectiontotale.R b/pkg/R/selectiontotale.R
deleted file mode 100644
index 2cdac38..0000000
--- a/pkg/R/selectiontotale.R
+++ /dev/null
@@ -1,56 +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, parallel = FALSE){
-  if (parallel) {
-    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(cl,  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$Pi)
-    })
-    parallel::stopCluster(cl)
-  }
-  else {
-    selectedVariables = list()
-    Rho = list()
-    Pi = list()
-    cpt = 1
-    #Pour chaque lambda de la grille, on calcule les coefficients
-    for (lambdaIndex in 1:length(glambda)){
-      print(lambdaIndex)
-      params = 
-        EMGLLF(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau)
-      p = dim(phiInit)[1]
-      m = dim(phiInit)[2]
-      #selectedVariables: list where element j contains vector of selected variables in [1,m]
-      if (sum(params$phi) != 0){
-        selectedVariables[[cpt]] = sapply(1:p, function(j) {
-          #from boolean matrix mxk of selected variables obtain the corresponding boolean m-vector,
-          #and finally return the corresponding indices
-          c(seq_len(m)[ apply( abs(params$phi[j,,]) > thresh, 1, any ) ], rep(0, m-length(seq_len(m)[ apply( abs(params$phi[j,,]) > thresh, 1, any ) ] ) ))
-        })
-        if (length(unique(selectedVariables)) == length(selectedVariables)){
-          Rho[[cpt]] = params$rho
-          Pi[[cpt]] = params$pi
-          cpt = cpt+1
-        }
-      }
-    }
-    list("selected"=selectedVariables,"Rho"=Rho,"Pi"=Pi)
-  }
-}
\ No newline at end of file