Drop useless files (we will use R 'parallel' package)

[valse.git] / src / test / generate_test_data / helpers / constructionModelesLassoMLE.R

diff --git a/src/test/generate_test_data/helpers/constructionModelesLassoMLE.R b/src/test/generate_test_data/helpers/constructionModelesLassoMLE.R
deleted file mode 100644 (file)
index ed05b2a..0000000
--- a/src/test/generate_test_data/helpers/constructionModelesLassoMLE.R
+++ /dev/null
@@ -1,56 +0,0 @@
-constructionModelesLassoMLE = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,
-       X,Y,seuil,tau,A1,A2)
-{
-  n = dim(X)[1];
-  p = dim(phiInit)[1]
-  m = dim(phiInit)[2]
-  k = dim(phiInit)[3]
-  L = length(glambda)
-
-  #output parameters
-  phi = array(0, dim=c(p,m,k,L))
-  rho = array(0, dim=c(m,m,k,L))
-  pi = matrix(0, k, L)
-  llh = matrix(0, L, 2) #log-likelihood
-
-  for(lambdaIndex in 1:L)
-       {
-    a = A1[,1,lambdaIndex]
-    a = a[a!=0]
-    if(length(a)==0)
-      next
-
-    res = EMGLLF(phiInit[a,,],rhoInit,piInit,gamInit,mini,maxi,gamma,0.,X[,a],Y,tau)
-
-    for (j in 1:length(a))
-      phi[a[j],,,lambdaIndex] = res$phi[j,,]
-    rho[,,,lambdaIndex] = res$rho
-    pi[,lambdaIndex] = res$pi
-
-    dimension = 0
-    for (j in 1:p)
-               {
-      b = A2[j,2:dim(A2)[2],lambdaIndex]
-      b = b[b!=0]
-      if (length(b) > 0)
-        phi[A2[j,1,lambdaIndex],b,,lambdaIndex] = 0.
-      c = A1[j,2:dim(A1)[2],lambdaIndex]
-      dimension = dimension + sum(c!=0)
-    }
-
-    #on veut calculer l'EMV avec toutes nos estimations
-               densite = matrix(0, nrow=n, ncol=L)
-               for (i in 1:n)
-               {
-                       for (r in 1:k)
-                       {
-                               delta = Y[i,]%*%rho[,,r,lambdaIndex] - (X[i,a]%*%phi[a,,r,lambdaIndex]);
-                               densite[i,lambdaIndex] = densite[i,lambdaIndex] + pi[r,lambdaIndex] *
-                                       det(rho[,,r,lambdaIndex])/(sqrt(2*base::pi))^m * exp(-tcrossprod(delta)/2.0)
-                       }
-               }
-               llh[lambdaIndex,1] = sum(log(densite[,lambdaIndex]))
-               llh[lambdaIndex,2] = (dimension+m+1)*k-1
-  }
-  return (list("phi"=phi, "rho"=rho, "pi"=pi, "llh" = llh))
-}