From: Benjamin Auder <benjamin.auder@somewhere>
Date: Thu, 23 Feb 2017 17:47:41 +0000 (+0100)
Subject: Drop useless files (we will use R 'parallel' package)
X-Git-Url: https://git.auder.net/doc/html/vendor/DESCRIPTION?a=commitdiff_plain;h=7f1a6cf08a4d4d67e8a95b8c1c0cc74ff3deb5a4;p=valse.git

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

diff --git a/src/test/generate_test_data/helpers/constructionModelesLassoMLE.R b/R/constructionModelesLassoMLE.R
similarity index 100%
rename from src/test/generate_test_data/helpers/constructionModelesLassoMLE.R
rename to R/constructionModelesLassoMLE.R
diff --git a/src/test/generate_test_data/helpers/constructionModelesLassoRank.R b/R/constructionModelesLassoRank.R
similarity index 100%
rename from src/test/generate_test_data/helpers/constructionModelesLassoRank.R
rename to R/constructionModelesLassoRank.R
diff --git a/src/adapters/a.constructionModelesLassoMLE.c b/src/adapters/a.constructionModelesLassoMLE.c
deleted file mode 100644
index ec519a9..0000000
--- a/src/adapters/a.constructionModelesLassoMLE.c
+++ /dev/null
@@ -1,92 +0,0 @@
-#include <R.h>
-#include <Rdefines.h>
-#include "constructionModelesLassoMLE.h"
-
-SEXP constructionModelesLassoMLE(
-	SEXP phiInit_,
-	SEXP rhoInit_,
-	SEXP piInit_,
-	SEXP gamInit_,
-	SEXP mini_,
-	SEXP maxi_,
-	SEXP gamma_,
-	SEXP glambda_,
-	SEXP X_,
-	SEXP Y_,
-	SEXP seuil_,
-	SEXP tau_,
-	SEXP A1_,
-	SEXP A2_
-) {
-	// Get matrices dimensions
-	int n = INTEGER(getAttrib(X_, R_DimSymbol))[0];
-	SEXP dim = getAttrib(phiInit_, R_DimSymbol);
-	int p = INTEGER(dim)[0];
-	int m = INTEGER(dim)[1];
-	int k = INTEGER(dim)[2];
-	int L = length(glambda_);
-
-	////////////
-	// INPUTS //
-	////////////
-
-	// get scalar parameters
-	int mini = INTEGER_VALUE(mini_);
-	int maxi = INTEGER_VALUE(maxi_);
-	double gamma = NUMERIC_VALUE(gamma_);
-	double seuil = NUMERIC_VALUE(seuil_);
-	double tau = NUMERIC_VALUE(tau_);
-
-	// Get pointers from SEXP arrays ; WARNING: by columns !
-	double* phiInit = REAL(phiInit_);
-	double* rhoInit = REAL(rhoInit_);
-	double* piInit = REAL(piInit_);
-	double* gamInit = REAL(gamInit_);
-	double* glambda = REAL(glambda_);
-	double* X = REAL(X_);
-	double* Y = REAL(Y_);
-	int* A1 = INTEGER(A1_);
-	int* A2 = INTEGER(A2_);
-
-	/////////////
-	// OUTPUTS //
-	/////////////
-
-	SEXP phi, rho, pi, llh, dimPhi, dimRho;
-	PROTECT(dimPhi = allocVector(INTSXP, 4));
-	int* pDimPhi = INTEGER(dimPhi);
-	pDimPhi[0] = p; pDimPhi[1] = m; pDimPhi[2] = k; pDimPhi[3] = L;
-	PROTECT(dimRho = allocVector(INTSXP, 4));
-	int* pDimRho = INTEGER(dimRho);
-	pDimRho[0] = m; pDimRho[1] = m; pDimRho[2] = k; pDimRho[3] = L;
-	PROTECT(phi = allocArray(REALSXP, dimPhi));
-	PROTECT(rho = allocArray(REALSXP, dimRho));
-	PROTECT(pi = allocMatrix(REALSXP, k, L));
-	PROTECT(llh = allocMatrix(REALSXP, L, 2));
-	double *pPhi=REAL(phi), *pRho=REAL(rho), *pPi=REAL(pi), *pllh=REAL(llh);
-
-	/////////////////////////////////////////
-	// Call to constructionModelesLassoMLE //
-	/////////////////////////////////////////
-
-	constructionModelesLassoMLE_core(
-		phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau,A1,A2,
-		pPhi,pRho,pPi,pllh,
-		n,p,m,k,L);
-
-	// Build list from OUT params and return it
-	SEXP listParams, listNames;
-	PROTECT(listParams = allocVector(VECSXP, 4));
-	char* lnames[4] = {"phi", "rho", "pi", "llh"}; //lists labels
-	PROTECT(listNames = allocVector(STRSXP,4));
-	for (int i=0; i<4; i++)
-		SET_STRING_ELT(listNames,i,mkChar(lnames[i]));
-	setAttrib(listParams, R_NamesSymbol, listNames);
-	SET_VECTOR_ELT(listParams, 0, phi);
-	SET_VECTOR_ELT(listParams, 1, rho);
-	SET_VECTOR_ELT(listParams, 2, pi);
-	SET_VECTOR_ELT(listParams, 3, llh);
-
-	UNPROTECT(8);
-	return listParams;
-}
diff --git a/src/adapters/a.constructionModelesLassoRank.c b/src/adapters/a.constructionModelesLassoRank.c
deleted file mode 100644
index 0e069d4..0000000
--- a/src/adapters/a.constructionModelesLassoRank.c
+++ /dev/null
@@ -1,79 +0,0 @@
-#include <R.h>
-#include <Rdefines.h>
-#include "constructionModelesLassoRank.h"
-
-SEXP constructionModelesLassoRank(
-	SEXP Pi_,
-	SEXP Rho_,
-	SEXP mini_,
-	SEXP maxi_,
-	SEXP X_,
-	SEXP Y_,
-	SEXP tau_,
-	SEXP A1_,
-	SEXP rangmin_,
-	SEXP rangmax_
-) {
-	// Get matrices dimensions
-	SEXP dimX = getAttrib(X_, R_DimSymbol);
-	int n = INTEGER(dimX)[0];
-	int p = INTEGER(dimX)[1];
-	SEXP dimRho = getAttrib(Rho_, R_DimSymbol);
-	int m = INTEGER(dimRho)[0];
-	int k = INTEGER(dimRho)[2];
-	int L = INTEGER(getAttrib(A1_, R_DimSymbol))[1];
-
-	////////////
-	// INPUTS //
-	////////////
-
-	// get scalar parameters
-	int mini = INTEGER_VALUE(mini_);
-	int maxi = INTEGER_VALUE(maxi_);
-	double tau = NUMERIC_VALUE(tau_);
-	double rangmin = NUMERIC_VALUE(rangmin_);
-	double rangmax = NUMERIC_VALUE(rangmax_);
-
-	// Get pointers from SEXP arrays ; WARNING: by columns !
-	double* Pi = REAL(Pi_);
-	double* Rho = REAL(Rho_);
-	double* X = REAL(X_);
-	double* Y = REAL(Y_);
-	int* A1 = INTEGER(A1_);
-
-	/////////////
-	// OUTPUTS //
-	/////////////
-
-	int Size = pow(rangmax-rangmin+1,k);
-	SEXP phi, llh, dimPhi;
-	PROTECT(dimPhi = allocVector(INTSXP, 4));
-	int* pDimPhi = INTEGER(dimPhi);
-	pDimPhi[0] = p; pDimPhi[1] = m; pDimPhi[2] = k; pDimPhi[3] = L*Size;
-	PROTECT(phi = allocArray(REALSXP, dimPhi));
-	PROTECT(llh = allocMatrix(REALSXP, L*Size, 2));
-	double *pPhi=REAL(phi), *pllh=REAL(llh);
-
-	//////////////////////////////////////////
-	// Call to constructionModelesLassoRank //
-	//////////////////////////////////////////
-
-	constructionModelesLassoRank_core(
-		Pi,Rho,mini,maxi,X,Y,tau,A1,rangmin,rangmax,
-		pPhi,pllh,
-		n,p,m,k,L);
-
-	// Build list from OUT params and return it
-	SEXP listParams, listNames;
-	PROTECT(listParams = allocVector(VECSXP, 2));
-	char* lnames[2] = {"phi", "llh"}; //lists labels
-	PROTECT(listNames = allocVector(STRSXP,2));
-	for (int i=0; i<2; i++)
-		SET_STRING_ELT(listNames,i,mkChar(lnames[i]));
-	setAttrib(listParams, R_NamesSymbol, listNames);
-	SET_VECTOR_ELT(listParams, 0, phi);
-	SET_VECTOR_ELT(listParams, 1, llh);
-
-	UNPROTECT(5);
-	return listParams;
-}
diff --git a/src/adapters/a.selectiontotale.c b/src/adapters/a.selectiontotale.c
deleted file mode 100644
index 3bfab9f..0000000
--- a/src/adapters/a.selectiontotale.c
+++ /dev/null
@@ -1,90 +0,0 @@
-#include <R.h>
-#include <Rdefines.h>
-#include "selectiontotale.h"
-
-SEXP selectiontotale(
-	SEXP phiInit_,
-	SEXP rhoInit_,
-	SEXP piInit_,
-	SEXP gamInit_,
-	SEXP mini_,
-	SEXP maxi_,
-	SEXP gamma_,
-	SEXP glambda_,
-	SEXP X_,
-	SEXP Y_,
-	SEXP seuil_,
-	SEXP tau_
-) {
-	// Get matrices dimensions
-	SEXP dimX = getAttrib(X_, R_DimSymbol);
-	int n = INTEGER(dimX)[0];
-	int p = INTEGER(dimX)[1];
-	SEXP dimRhoInit = getAttrib(rhoInit_, R_DimSymbol);
-	int m = INTEGER(dimRhoInit)[0];
-	int k = INTEGER(dimRhoInit)[2];
-	int L = length(glambda_);
-
-	////////////
-	// INPUTS //
-	////////////
-
-	// get scalar parameters
-	int mini = INTEGER_VALUE(mini_);
-	int maxi = INTEGER_VALUE(maxi_);
-	double gamma = NUMERIC_VALUE(gamma_);
-	double seuil = NUMERIC_VALUE(seuil_);
-	double tau = NUMERIC_VALUE(tau_);
-
-	// Get pointers from SEXP arrays ; WARNING: by columns !
-	double* phiInit = REAL(phiInit_);
-	double* rhoInit = REAL(rhoInit_);
-	double* piInit = REAL(piInit_);
-	double* gamInit = REAL(gamInit_);
-	double* glambda = REAL(glambda_);
-	double* X = REAL(X_);
-	double* Y = REAL(Y_);
-
-	/////////////
-	// OUTPUTS //
-	/////////////
-
-	SEXP A1, A2, rho, pi, dimA, dimRho;
-	PROTECT(dimA = allocVector(INTSXP, 3));
-	int* pDimA = INTEGER(dimA);
-	pDimA[0] = p; pDimA[1] = m+1; pDimA[2] = L;
-	PROTECT(A1 = allocArray(INTSXP, dimA));
-	PROTECT(A2 = allocArray(INTSXP, dimA));
-	PROTECT(dimRho = allocVector(INTSXP, 4));
-	int* pDimRho = INTEGER(dimRho);
-	pDimRho[0] = m; pDimRho[1] = m; pDimRho[2] = k; pDimRho[3] = L;
-	PROTECT(rho = allocArray(REALSXP, dimRho));
-	PROTECT(pi = allocMatrix(REALSXP, k, L));
-	int *pA1=INTEGER(A1), *pA2=INTEGER(A2);
-	double *pRho=REAL(rho), *pPi=REAL(pi);
-
-	/////////////////////////////
-	// Call to selectiontotale //
-	/////////////////////////////
-
-	selectiontotale_core(
-		phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau,
-		pA1,pA2,pRho,pPi,
-		n,p,m,k,L);
-
-	// Build list from OUT params and return it
-	SEXP listParams, listNames;
-	PROTECT(listParams = allocVector(VECSXP, 4));
-	char* lnames[4] = { "A1", "A2", "rho", "pi" }; //lists labels
-	PROTECT(listNames = allocVector(STRSXP, 4));
-	for (int i=0; i<4; i++)
-		SET_STRING_ELT(listNames,i,mkChar(lnames[i]));
-	setAttrib(listParams, R_NamesSymbol, listNames);
-	SET_VECTOR_ELT(listParams, 0, A1);
-	SET_VECTOR_ELT(listParams, 1, A2);
-	SET_VECTOR_ELT(listParams, 2, rho);
-	SET_VECTOR_ELT(listParams, 3, pi);
-
-	UNPROTECT(7);
-	return listParams;
-}
diff --git a/src/sources/constructionModelesLassoMLE.c b/src/sources/constructionModelesLassoMLE.c
deleted file mode 100644
index 34e5808..0000000
--- a/src/sources/constructionModelesLassoMLE.c
+++ /dev/null
@@ -1,214 +0,0 @@
-#include "EMGLLF.h"
-#include "utils.h"
-#include <stdlib.h>
-#include <gsl/gsl_linalg.h>
-#include <omp.h>
-
-// TODO: comment on constructionModelesLassoMLE purpose
-void constructionModelesLassoMLE_core(
-	// IN parameters
-	const Real* phiInit, // parametre initial de moyenne renormalisé
-	const Real* rhoInit, // parametre initial de variance renormalisé
-	const Real* piInit,// parametre initial des proportions
-	const Real* gamInit, // paramètre initial des probabilités a posteriori de chaque échantillon
-	int mini,// nombre minimal d'itérations dans l'algorithme EM
-	int maxi,// nombre maximal d'itérations dans l'algorithme EM
-	Real gamma,// valeur de gamma : puissance des proportions dans la pénalisation
-	           //pour un Lasso adaptatif
-	const Real* glambda, // valeur des paramètres de régularisation du Lasso
-	const Real* X, // régresseurs
-	const Real* Y, // réponse
-	Real seuil,// seuil pour prendre en compte une variable
-	Real tau,// seuil pour accepter la convergence
-	const int* A1, // matrice des coefficients des parametres selectionnes
-	const int* A2, // matrice des coefficients des parametres non selectionnes
-	// OUT parameters
-	Real* phi,// estimateur ainsi calculé par le Lasso
-	Real* rho,// estimateur ainsi calculé par le Lasso
-	Real* pi, // estimateur ainsi calculé par le Lasso
-	Real* llh, // estimateur ainsi calculé par le Lasso
-	// additional size parameters
-	int n, // taille de l'echantillon
-	int p, // nombre de covariables
-	int m, // taille de Y (multivarié)
-	int k, // nombre de composantes
-	int L) // taille de glambda
-{
-	//preparation: phi,rho,pi = 0, llh=+Inf
-	for (int u=0; u<p*m*k*L; u++)
-		phi[u] = 0.;
-	for (int u=0; u<m*m*k*L; u++)
-		rho[u] = 0.;
-	for (int u=0; u<k*L; u++)
-		pi[u] = 0.;
-	for (int u=0; u<L*2; u++)
-		llh[u] = INFINITY;
-
-	//initiate parallel section
-	int lambdaIndex;
-	omp_set_num_threads(OMP_NUM_THREADS);
-	#pragma omp parallel default(shared) private(lambdaIndex)
-	{
-	#pragma omp for schedule(dynamic,CHUNK_SIZE) nowait
-	for (lambdaIndex=0; lambdaIndex<L; lambdaIndex++)
-	{
-		//a = A1[,1,lambdaIndex] ; a = a[a!=0]
-		int* a = (int*)malloc(p*sizeof(int));
-		int lengthA = 0;
-		for (int j=0; j<p; j++)
-		{
-			if (A1[ai(j,0,lambdaIndex,p,m+1,L)] != 0)
-				a[lengthA++] = A1[ai(j,0,lambdaIndex,p,m+1,L)] - 1;
-		}
-		if (lengthA == 0)
-		{
-			free(a);
-			continue;
-		}
-
-		//Xa = X[,a]
-		Real* Xa = (Real*)malloc(n*lengthA*sizeof(Real));
-		for (int i=0; i<n; i++)
-		{
-			for (int j=0; j<lengthA; j++)
-				Xa[mi(i,j,n,lengthA)] = X[mi(i,a[j],n,p)];
-		}
-
-		//phia = phiInit[a,,]
-		Real* phia = (Real*)malloc(lengthA*m*k*sizeof(Real));
-		for (int j=0; j<lengthA; j++)
-		{
-			for (int mm=0; mm<m; mm++)
-			{
-				for (int r=0; r<k; r++)
-					phia[ai(j,mm,r,lengthA,m,k)] = phiInit[ai(a[j],mm,r,p,m,k)];
-			}
-		}
-
-		//Call to EMGLLF
-		Real* phiLambda = (Real*)malloc(lengthA*m*k*sizeof(Real));
-		Real* rhoLambda = (Real*)malloc(m*m*k*sizeof(Real));
-		Real* piLambda = (Real*)malloc(k*sizeof(Real));
-		Real* LLF = (Real*)malloc((maxi+1)*sizeof(Real));
-		Real* S = (Real*)malloc(lengthA*m*k*sizeof(Real));
-		EMGLLF_core(phia,rhoInit,piInit,gamInit,mini,maxi,gamma,0.,Xa,Y,tau,
-			phiLambda,rhoLambda,piLambda,LLF,S,
-			n,lengthA,m,k);
-		free(Xa);
-		free(phia);
-		free(LLF);
-		free(S);
-
-		//Assign results to current variables
-		for (int j=0; j<lengthA; j++)
-		{
-			for (int mm=0; mm<m; mm++)
-			{
-				for (int r=0; r<k; r++)
-					phi[ai4(a[j],mm,r,lambdaIndex,p,m,k,L)] = phiLambda[ai(j,mm,r,lengthA,m,k)];
-			}
-		}
-		free(phiLambda);
-		for (int u=0; u<m; u++)
-		{
-			for (int v=0; v<m; v++)
-			{
-				for (int r=0; r<k; r++)
-					rho[ai4(u,v,r,lambdaIndex,m,m,k,L)] = rhoLambda[ai(u,v,r,m,m,k)];
-			}
-		}
-		free(rhoLambda);
-		for (int r=0; r<k; r++)
-			pi[mi(r,lambdaIndex,k,L)] = piLambda[r];
-		free(piLambda);
-
-		int dimension = 0;
-		int* b = (int*)malloc(m*sizeof(int));
-		for (int j=0; j<p; j++)
-		{
-			//b = A2[j,2:dim(A2)[2],lambdaIndex] ; b = b[b!=0]
-			int lengthB = 0;
-			for (int mm=0; mm<m; mm++)
-			{
-				if (A2[ai(j,mm+1,lambdaIndex,p,m+1,L)] != 0)
-					b[lengthB++] = A2[ai(j,mm+1,lambdaIndex,p,m+1,L)] - 1;
-			}
-			if (lengthB > 0)
-			{
-				//phi[A2[j,1,lambdaIndex],b,,lambdaIndex] = 0.
-				for (int mm=0; mm<lengthB; mm++)
-				{
-					for (int r=0; r<k; r++)
-						phi[ai4(A2[ai(j,0,lambdaIndex,p,m+1,L)]-1, b[mm], r, lambdaIndex, p, m, k, L)] = 0.;
-				}
-			}
-
-			//c = A1[j,2:dim(A1)[2],lambdaIndex] ; dimension = dimension + sum(c!=0)
-			for (int mm=0; mm<m; mm++)
-			{
-				if (A1[ai(j,mm+1,lambdaIndex,p,m+1,L)] != 0)
-					dimension++;
-			}
-		}
-		free(b);
-
-		int signum;
-		Real* densite = (Real*)calloc(L*n,sizeof(Real));
-		Real sumLogDensit = 0.0;
-		gsl_matrix* matrix = gsl_matrix_alloc(m, m);
-		gsl_permutation* permutation = gsl_permutation_alloc(m);
-		Real* YiRhoR = (Real*)malloc(m*sizeof(Real));
-		Real* XiPhiR = (Real*)malloc(m*sizeof(Real));
-		for (int i=0; i<n; i++)
-		{
-			for (int r=0; r<k; r++)
-			{
-				//compute det(rho(:,:,r,lambdaIndex)) [TODO: avoid re-computations]
-				for (int u=0; u<m; u++)
-				{
-					for (int v=0; v<m; v++)
-						matrix->data[u*m+v] = rho[ai4(u,v,r,lambdaIndex,m,m,k,L)];
-				}
-				gsl_linalg_LU_decomp(matrix, permutation, &signum);
-				Real detRhoR = gsl_linalg_LU_det(matrix, signum);
-
-				//compute Y(i,:)*rho(:,:,r,lambdaIndex)
-				for (int u=0; u<m; u++)
-				{
-					YiRhoR[u] = 0.0;
-					for (int v=0; v<m; v++)
-						YiRhoR[u] += Y[mi(i,v,n,m)] * rho[ai4(v,u,r,lambdaIndex,m,m,k,L)];
-				}
-
-				//compute X(i,a)*phi(a,:,r,lambdaIndex)
-				for (int u=0; u<m; u++)
-				{
-					XiPhiR[u] = 0.0;
-					for (int v=0; v<lengthA; v++)
-						XiPhiR[u] += X[mi(i,a[v],n,p)] * phi[ai4(a[v],u,r,lambdaIndex,p,m,k,L)];
-				}
-				// NOTE: On peut remplacer X par Xa dans ce dernier calcul,
-				// mais je ne sais pas si c'est intéressant ...
-
-				// compute dotProduct < delta . delta >
-				Real dotProduct = 0.0;
-				for (int u=0; u<m; u++)
-					dotProduct += (YiRhoR[u]-XiPhiR[u]) * (YiRhoR[u]-XiPhiR[u]);
-
-				densite[mi(lambdaIndex,i,L,n)] +=
-					(pi[mi(r,lambdaIndex,k,L)]*detRhoR/pow(sqrt(2.0*M_PI),m))*exp(-dotProduct/2.0);
-			}
-			sumLogDensit += log(densite[lambdaIndex*n+i]);
-		}
-		llh[mi(lambdaIndex,0,L,2)] = sumLogDensit;
-		llh[mi(lambdaIndex,1,L,2)] = (dimension+m+1)*k-1;
-
-		free(a);
-		free(YiRhoR);
-		free(XiPhiR);
-		free(densite);
-		gsl_matrix_free(matrix);
-		gsl_permutation_free(permutation);
-	}
-	}
-}
diff --git a/src/sources/constructionModelesLassoMLE.h b/src/sources/constructionModelesLassoMLE.h
deleted file mode 100644
index 06e500d..0000000
--- a/src/sources/constructionModelesLassoMLE.h
+++ /dev/null
@@ -1,34 +0,0 @@
-#ifndef valse_constructionModelesLassoMLE_H
-#define valse_constructionModelesLassoMLE_H
-
-#include "utils.h"
-
-void constructionModelesLassoMLE_core(
-	// IN parameters
-	const Real* phiInit,
-	const Real* rhoInit,
-	const Real* piInit,
-	const Real* gamInit,
-	int mini,
-	int maxi,
-	Real gamma,
-	const Real* glambda,
-	const Real* X,
-	const Real* Y,
-	Real seuil,
-	Real tau,
-	const int* A1,
-	const int* A2,
-	// OUT parameters
-	Real* phi,
-	Real* rho,
-	Real* pi,
-	Real* llh,
-	// additional size parameters
-	int n,
-	int p,
-	int m,
-	int k,
-	int L);
-
-#endif
diff --git a/src/sources/constructionModelesLassoRank.c b/src/sources/constructionModelesLassoRank.c
deleted file mode 100644
index 1115311..0000000
--- a/src/sources/constructionModelesLassoRank.c
+++ /dev/null
@@ -1,138 +0,0 @@
-#include <stdlib.h>
-#include <omp.h>
-#include <gsl/gsl_linalg.h>
-#include "EMGrank.h"
-#include "utils.h"
-
-// TODO: comment on constructionModelesLassoRank purpose
-void constructionModelesLassoRank_core(
-	// IN parameters
-	const Real* pi,// parametre initial des proportions
-	const Real* rho, // parametre initial de variance renormalisé
-	int mini, // nombre minimal d'itérations dans l'algorithme EM
-	int maxi, // nombre maximal d'itérations dans l'algorithme EM
-	const Real* X,// régresseurs
-	const Real* Y,// réponse
-	Real tau, // seuil pour accepter la convergence
-	const int* A1, // matrice des coefficients des parametres selectionnes
-	int rangmin,	//rang minimum autorisé
-	int rangmax,	//rang maximum autorisé
-	// OUT parameters (all pointers, to be modified)
-	Real* phi,// estimateur ainsi calculé par le Lasso
-	Real* llh,// estimateur ainsi calculé par le Lasso
-	// additional size parameters
-	int n,// taille de l'echantillon
-	int p,// nombre de covariables
-	int m,// taille de Y (multivarié)
-	int k,// nombre de composantes
-	int L)// taille de glambda
-{
-	//On cherche les rangs possiblement intéressants
-	int deltaRank = rangmax-rangmin+1;
-	int Size = (int)pow(deltaRank,k);
-	int* Rank = (int*)malloc(Size*k*sizeof(int));
-	for (int r=0; r<k; r++)
-	{
-		// On veut le tableau de toutes les combinaisons de rangs possibles
-		// Dans la première colonne : on répète (rangmax-rangmin)^(k-1) chaque chiffre :
-		//   ça remplit la colonne
-		// Dans la deuxieme : on répète (rangmax-rangmin)^(k-2) chaque chiffre,
-		//   et on fait ça (rangmax-rangmin)^2 fois
-		// ...
-		// Dans la dernière, on répète chaque chiffre une fois,
-		//   et on fait ça (rangmin-rangmax)^(k-1) fois.
-		int indexInRank = 0;
-		int value = 0;
-		while (indexInRank < Size)
-		{
-			int upperBoundU = (int)pow(deltaRank,k-r-1);
-			for (int u=0; u<upperBoundU; u++)
-				Rank[mi(indexInRank++,r,Size,k)] = rangmin + value;
-			value = (value+1) % deltaRank;
-		}
-	}
-
-	//Initialize phi to zero, because unactive variables won't be assigned
-	for (int i=0; i<p*m*k*L*Size; i++)
-		phi[i] = 0.0;
-	for (int i=0; i<L*Size*2; i++)
-		llh[i] = INFINITY;
-
-	//initiate parallel section
-	int lambdaIndex;
-	omp_set_num_threads(OMP_NUM_THREADS);
-	#pragma omp parallel default(shared) private(lambdaIndex)
-	{
-	#pragma omp for schedule(dynamic,CHUNK_SIZE) nowait
-	for (lambdaIndex=0; lambdaIndex<L; lambdaIndex++)
-	{
-		//On ne garde que les colonnes actives : active sera l'ensemble des variables informatives
-		int* active = (int*)malloc(p*sizeof(int));
-		int longueurActive = 0;
-		for (int j=0; j<p; j++)
-		{
-			if (A1[mi(j,lambdaIndex,p,L)] != 0)
-				active[longueurActive++] = A1[mi(j,lambdaIndex,p,L)] - 1;
-		}
-		if (longueurActive == 0)
-			continue;
-
-		//from now on, longueurActive > 0
-		Real* phiLambda = (Real*)malloc(longueurActive*m*k*sizeof(Real));
-		Real LLF;
-		for (int j=0; j<Size; j++)
-		{
-			int* rank = (int*)malloc(k*sizeof(int));
-			for (int r=0; r<k; r++)
-				rank[r] = Rank[mi(j,r,Size,k)];
-			Real* Xactive = (Real*)malloc(n*longueurActive*sizeof(Real));
-			for (int i=0; i<n; i++)
-			{
-				for (int jj=0; jj<longueurActive; jj++)
-					Xactive[mi(i,jj,n,longueurActive)] = X[mi(i,active[jj],n,p)];
-			}
-			Real* piLambda = (Real*)malloc(k*sizeof(Real));
-			for (int r=0; r<k; r++)
-				piLambda[r] = pi[mi(r,lambdaIndex,k,L)];
-			Real* rhoLambda = (Real*)malloc(m*m*k*sizeof(Real));
-			for (int u=0; u<m; u++)
-			{
-				for (int v=0; v<m; v++)
-				{
-					for (int r=0; r<k; r++)
-						rhoLambda[ai(u,v,r,m,m,k)] = rho[ai4(u,v,r,lambdaIndex,m,m,k,L)];
-				}
-			}
-			EMGrank_core(piLambda,rhoLambda,mini,maxi,Xactive,Y,tau,rank,
-				phiLambda,&LLF,
-				n,longueurActive,m,k);
-			free(rank);
-			free(Xactive);
-			free(piLambda);
-			free(rhoLambda);
-			//llh[(lambdaIndex-1)*Size+j,] = c(LLF, ...)
-			llh[mi(lambdaIndex*Size+j,0,L*Size,2)] = LLF;
-			//sum(Rank[j,] * (length(active)- Rank[j,] + m)) )
-			Real dotProduct = 0.0;
-			for (int r=0; r<k; r++)
-				dotProduct += Rank[mi(j,r,Size,k)] * (longueurActive-Rank[mi(j,r,Size,k)]+m);
-			llh[mi(lambdaIndex*Size+j,1,Size*L,2)] = dotProduct;
-			//phi[active,,,(lambdaIndex-1)*Size+j] = res$phi
-			for (int jj=0; jj<longueurActive; jj++)
-			{
-				for (int mm=0; mm<m; mm++)
-				{
-					for (int r=0; r<k; r++)
-					{
-						phi[ai4(active[jj],mm,r,lambdaIndex*Size+j,p,m,k,L*Size)] =
-							phiLambda[ai(jj,mm,r,longueurActive,m,k)];
-					}
-				}
-			}
-		}
-		free(active);
-		free(phiLambda);
-	}
-	}
-	free(Rank);
-}
diff --git a/src/sources/constructionModelesLassoRank.h b/src/sources/constructionModelesLassoRank.h
deleted file mode 100644
index dbe8f59..0000000
--- a/src/sources/constructionModelesLassoRank.h
+++ /dev/null
@@ -1,29 +0,0 @@
-#ifndef valse_constructionModelesLassoRank_H
-#define valse_constructionModelesLassoRank_H
-
-#include "utils.h"
-
-// Main job on raw inputs (after transformation from mxArray)
-void constructionModelesLassoRank_core(
-	// IN parameters
-	const Real* Pi,
-	const Real* Rho,
-	int mini,
-	int maxi,
-	const Real* X,
-	const Real* Y,
-	Real tau,
-	const int* A1,
-	int rangmin,
-	int rangmax,
-	// OUT parameters
-	Real* phi,
-	Real* llh,
-	// additional size parameters
-	int n,
-	int p,
-	int m,
-	int k,
-	int L);
-
-#endif
diff --git a/src/sources/selectiontotale.c b/src/sources/selectiontotale.c
deleted file mode 100644
index 8c1b768..0000000
--- a/src/sources/selectiontotale.c
+++ /dev/null
@@ -1,143 +0,0 @@
-#include <stdlib.h>
-#include <omp.h>
-#include <math.h>
-#include "EMGLLF.h"
-#include "utils.h"
-
-// Main job on raw inputs (after transformation from mxArray)
-void selectiontotale_core(
-	// IN parameters
-	const Real* phiInit, // parametre initial de moyenne renormalisé
-	const Real* rhoInit, // parametre initial de variance renormalisé
-	const Real* piInit,// parametre initial des proportions
-	const Real* gamInit, // paramètre initial des probabilités a posteriori de chaque échantillon
-	int mini, // nombre minimal d'itérations dans lambdaIndex'algorithme EM
-	int maxi, // nombre maximal d'itérations dans lambdaIndex'algorithme EM
-	Real gamma, // valeur de gamma : puissance des proportions dans la pénalisation pour un Lasso adaptatif
-	const Real* glambda, // valeur des paramètres de régularisation du Lasso
-	const Real* X,// régresseurs
-	const Real* Y,// réponse
-	Real seuil, // seuil pour prendre en compte une variable
-	Real tau, // seuil pour accepter la convergence
-	// OUT parameters (all pointers, to be modified)
-	int* A1, // matrice des coefficients des parametres selectionnes
-	int* A2, // matrice des coefficients des parametres non selectionnes
-	Real* Rho,// estimateur ainsi calculé par le Lasso
-	Real* Pi,// estimateur ainsi calculé par le Lasso
-	// additional size parameters
-	int n,// taille de lambdaIndex'echantillon
-	int p,// nombre de covariables
-	int m,// taille de Y (multivarié)
-	int k,// nombre de composantes
-	int L) // taille de glambda
-{
-	// Fill outputs with zeros: they might not be assigned
-	for (int u=0; u<p*(m+1)*L; u++)
-	{
-		A1[u] = 0;
-		A2[u] = 0;
-	}
-	for (int u=0; u<m*m*k*L; u++)
-		Rho[u] = 0.0;
-	for (int u=0; u<k*L; u++)
-		Pi[u] = 0.0;
-
-	//initiate parallel section
-	int lambdaIndex;
-	omp_set_num_threads(OMP_NUM_THREADS);
-	#pragma omp parallel default(shared) private(lambdaIndex)
-	{
-	#pragma omp for schedule(dynamic,CHUNK_SIZE) nowait
-	for (lambdaIndex=0; lambdaIndex<L; lambdaIndex++)
-	{
-		//allocate output variables
-		Real* phi = (Real*)malloc(p*m*k*sizeof(Real));
-		Real* rho = (Real*)malloc(m*m*k*sizeof(Real));
-		Real* pi = (Real*)malloc(k*sizeof(Real));
-		Real* LLF = (Real*)malloc(maxi*sizeof(Real));
-		Real* S = (Real*)malloc(p*m*k*sizeof(Real));
-		EMGLLF_core(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda[lambdaIndex],X,Y,tau,
-			phi,rho,pi,LLF,S,
-			n,p,m,k);
-		free(LLF);
-		free(S);
-
-		//Si un des coefficients est supérieur au seuil, on garde cette variable
-		int* selectedVariables = (int*)calloc(p*m,sizeof(int));
-		int* discardedVariables = (int*)calloc(p*m,sizeof(int));
-		int atLeastOneSelectedVariable = 0;
-		for (int j=0; j<p; j++)
-		{
-			int cpt = 0;
-			int cpt2 = 0;
-			for (int jj=0; jj<m; jj++)
-			{
-				Real maxPhi = 0.0;
-				for (int r=0; r<k; r++)
-				{
-					if (fabs(phi[ai(j,jj,r,p,m,k)]) > maxPhi)
-						maxPhi = fabs(phi[ai(j,jj,r,p,m,k)]);
-				}
-				if (maxPhi > seuil)
-				{
-					selectedVariables[mi(j,cpt,p,m)] = jj+1;
-					atLeastOneSelectedVariable = 1;
-					cpt++;
-				}
-				else
-				{
-					discardedVariables[mi(j,cpt2,p,m)] = jj+1;
-					cpt2++;
-				}
-			}
-		}
-		free(phi);
-
-		if (atLeastOneSelectedVariable)
-		{
-			int* vec = (int*)malloc(p*sizeof(int));
-			int vecSize = 0;
-			for (int j=0; j<p; j++)
-			{
-				if (selectedVariables[mi(j,0,p,m)] != 0)
-					vec[vecSize++] = j;
-			}
-			
-			//A1
-			for (int j=0; j<p; j++)
-				A1[ai(j,0,lambdaIndex,p,m+1,L)] = (j < vecSize ? vec[j]+1 : 0);
-			for (int j=0; j<vecSize; j++)
-			{
-				for (int jj=1; jj<=m; jj++)
-					A1[ai(j,jj,lambdaIndex,p,m+1,L)] = selectedVariables[mi(vec[j],jj-1,p,m)];
-			}
-			//A2
-			for (int j=0; j<p; j++)
-				A2[ai(j,0,lambdaIndex,p,m+1,L)] = j+1;
-			for (int j=0; j<p; j++)
-			{
-				for (int jj=1; jj<=m; jj++)
-					A2[ai(j,jj,lambdaIndex,p,m+1,L)] = discardedVariables[mi(j,jj-1,p,m)];
-			}
-			//Rho
-			for (int j=0; j<m; j++)
-			{
-				for (int jj=0; jj<m; jj++)
-				{
-					for (int r=0; r<k; r++)
-						Rho[ai4(j,jj,r,lambdaIndex,m,m,k,L)] = rho[ai(j,jj,r,m,m,k)];
-				}
-			}
-			//Pi
-			for (int r=0; r<k; r++)
-				Pi[mi(r,lambdaIndex,k,L)] = pi[r];
-			free(vec);
-		}
-
-		free(selectedVariables);
-		free(discardedVariables);
-		free(rho);
-		free(pi);
-	}
-	}
-}
diff --git a/src/sources/selectiontotale.h b/src/sources/selectiontotale.h
deleted file mode 100644
index fea6e39..0000000
--- a/src/sources/selectiontotale.h
+++ /dev/null
@@ -1,33 +0,0 @@
-#ifndef valse_selectiontotale_H
-#define valse_selectiontotale_H
-
-#include "utils.h"
-
-// Main job on raw inputs (after transformation from mxArray)
-void selectiontotale_core(
-	// IN parameters
-	const Real* phiInit,
-	const Real* rhoInit,
-	const Real* piInit,
-	const Real* gamInit,
-	int mini,
-	int maxi,
-	Real gamma,
-	const Real* glambda,
-	const Real* X,
-	const Real* Y,
-	Real seuil,
-	Real tau,
-	// OUT parameters
-	int* A1,
-	int* A2,
-	Real* Rho,
-	Real* Pi,
-	// additional size parameters
-	int n,
-	int p,
-	int m,
-	int k,
-	int L);
-
-#endif
diff --git a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R
deleted file mode 100644
index dbce359..0000000
--- a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R
+++ /dev/null
@@ -1,65 +0,0 @@
-source("helpers/constructionModelesLassoMLE.R")
-
-generateRunSaveTest_constructionModelesLassoMLE = function(n=200, p=15, m=10, k=3, mini=5,
-	maxi=10, gamma=1.0, glambda=list(0.0,0.01,0.02,0.03,0.05,0.1,0.2,0.3,0.5,0.7,0.85,0.99))
-{
-	tau = 1e-6;
-	seuil = 1e-15;
-	L = length(glambda);
-  A1 = array(0, dim=c(p, m+1, L))
-  A2 = array(0, dim=c(p, m+1, L))
-  for (i in 1:L)
-	{
-    A1[,1,i] = seq_len(p)
-    A1[1:5,2,i] = seq_len(5)
-    A2[,1,i] = seq_len(p)
-    A2[1:5,2,i] = seq_len(5)
-  }
-	require(valse)
-  params = valse:::basicInitParameters(n, p, m, k)
-  xy = valse:::generateXYdefault(n, p, m, k)
-
-  testFolder = "../data/"
-  dir.create(testFolder, showWarnings=FALSE, mode="0755")
-  #save inputs
-  write.table(as.double(params$phiInit), paste(testFolder,"phiInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(params$rhoInit), paste(testFolder,"rhoInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(params$piInit), paste(testFolder,"piInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(params$gamInit), paste(testFolder,"gamInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(gamma), paste(testFolder,"gamma",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(glambda), paste(testFolder,"glambda",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(seuil), paste(testFolder,"seuil",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(tau), paste(testFolder,"tau",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(A1), paste(testFolder,"A1",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(A2), paste(testFolder,"A2",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(c(n,p,m,k,L)), paste(testFolder,"dimensions",sep=""),
-		row.names=F, col.names=F)
-
-  res = constructionModelesLassoMLE(
-		params$phiInit,params$rhoInit,params$piInit,params$gamInit,
-		mini,maxi,gamma,glambda,xy$X,xy$Y,seuil,tau,A1,A2)
-
-  #save output
-  write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$rho), paste(testFolder,"rho",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$pi), paste(testFolder,"pi",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F)
-}
diff --git a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R
deleted file mode 100644
index 559bd9e..0000000
--- a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R
+++ /dev/null
@@ -1,49 +0,0 @@
-source("helpers/constructionModelesLassoRank.R")
-
-generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, k=3, L=12, mini=5,
-	maxi=10, gamma=1.0, rangmin=3, rangmax=6)
-{
-  tau = 1e-6
-  pi = matrix(1./k, nrow=k, ncol=L)
-  rho = array(dim=c(m,m,k,L))
-  for (l in 1:L)
-	{
-    for (r in 1:k)
-      rho[,,r,l] = diag(1,m)
-  }
-  A1 = matrix(seq_len(p), nrow=p, ncol=L)
-	require(valse)
-  xy = valse:::generateXYdefault(n, p, m, k)
-
-  testFolder = "../data/"
-  dir.create(testFolder, showWarnings=FALSE, mode="0755")
-  #save inputs
-  write.table(as.double(pi), paste(testFolder,"pi",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(rho),paste(testFolder,"rho",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(tau),paste(testFolder,"tau",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(A1),paste(testFolder,"A1",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(rangmin),paste(testFolder,"rangmin",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(rangmax),paste(testFolder,"rangmax",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(c(n,p,m,k,L)),paste(testFolder,"dimensions",sep=""),
-		row.names=F, col.names=F)
-
-  res = constructionModelesLassoRank(pi,rho,mini,maxi,xy$X,xy$Y,tau,A1,rangmin,rangmax)
-
-  #save output
-  write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F)
-}
diff --git a/src/test/generate_test_data/generateRunSaveTest_selectiontotale.R b/src/test/generate_test_data/generateRunSaveTest_selectiontotale.R
deleted file mode 100644
index 0ea03bf..0000000
--- a/src/test/generate_test_data/generateRunSaveTest_selectiontotale.R
+++ /dev/null
@@ -1,49 +0,0 @@
-generateRunSaveTest_selectiontotale= function(n=200, p=15, m=10, k=3, mini=5, maxi=10, gamma=1.0,
-	glambda=list(0.0,0.01,0.02,0.03,0.05,0.1,0.2,0.3,0.5,0.7,0.85,0.99))
-{
-	tau = 1e-6;
-	seuil = 1e-15;
-	require(valse)
-  params = valse:::basicInitParameters(n, p, m, k)
-  xy = valse:::generateXYdefault(n, p, m, k)
-	L = length(glambda)
-
-  testFolder = "data/"
-  dir.create(testFolder, showWarnings=FALSE, mode="0755")
-  #save inputs
-  write.table(as.double(params$phiInit), paste(testFolder,"phiInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(params$rhoInit), paste(testFolder,"rhoInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(params$piInit), paste(testFolder,"piInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(params$gamInit), paste(testFolder,"gamInit",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(gamma), paste(testFolder,"gamma",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(glambda), paste(testFolder,"lambda",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(seuil), paste(testFolder,"seuil",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.double(tau), paste(testFolder,"tau",sep=""),
-		row.names=F, col.names=F)
-  write.table(as.integer(c(n,p,m,k,L)), paste(testFolder,"dimensions",sep=""),
-		row.names=F, col.names=F)
-
-  res = selectiontotale(params$phiInit,params$rhoInit,params$piInit,params$gamInit,
-		mini,maxi,gamma,glambda,xy$X,xy$Y,seuil, tau)
-
-  #save output
-  write.table(as.double(res$A1), paste(testFolder,"A1",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$A2), paste(testFolder,"A2",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$rho), paste(testFolder,"rho",sep=""), row.names=F, col.names=F)
-  write.table(as.double(res$pi), paste(testFolder,"pi",sep=""), row.names=F, col.names=F)
-}
diff --git a/src/test/test.constructionModelesLassoMLE.c b/src/test/test.constructionModelesLassoMLE.c
deleted file mode 100644
index b607467..0000000
--- a/src/test/test.constructionModelesLassoMLE.c
+++ /dev/null
@@ -1,83 +0,0 @@
-#include "constructionModelesLassoMLE.h"
-#include "test_utils.h"
-#include <stdlib.h>
-
-#include <stdio.h>
-
-int main(int argc, char** argv)
-{
-	int* dimensions = readArray_int("dimensions");
-	int n = dimensions[0];
-	int p = dimensions[1];
-	int m = dimensions[2];
-	int k = dimensions[3];
-	int L = dimensions[4];
-	free(dimensions);
-
-	////////////
-	// INPUTS //
-	Real* phiInit = readArray_real("phiInit");
-	Real* rhoInit = readArray_real("rhoInit");
-	Real* piInit = readArray_real("piInit");
-	Real* gamInit = readArray_real("gamInit");
-	int mini = read_int("mini");
-	int maxi = read_int("maxi");
-	Real gamma = read_real("gamma");
-	Real* glambda = readArray_real("glambda");
-	Real* X = readArray_real("X");
-	Real* Y = readArray_real("Y");
-	Real seuil = read_real("seuil");
-	Real tau = read_real("tau");
-	int* A1 = readArray_int("A1");
-	int* A2 = readArray_int("A2");
-	////////////
-
-	/////////////
-	// OUTPUTS //
-	Real* phi = (Real*)malloc(p*m*k*L*sizeof(Real));
-	Real* rho = (Real*)malloc(m*m*k*L*sizeof(Real));
-	Real* pi = (Real*)malloc(k*L*sizeof(Real));
-	Real* llh = (Real*)malloc(L*2*sizeof(Real));
-	/////////////
-
-	/////////////////////////////////////////
-	// Call to constructionModelesLassoMLE //
-	constructionModelesLassoMLE_core(
-		phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau,A1,A2,
-		phi,rho,pi,llh,
-		n,p,m,k,L);
-	/////////////////////////////////////////
-
-	free(phiInit);
-	free(rhoInit);
-	free(piInit);
-	free(gamInit);
-	free(X);
-	free(Y);
-	free(A1);
-	free(A2);
-	free(glambda);
-
-	// Compare to reference outputs
-	Real* ref_phi = readArray_real("phi");
-	compareArray_real("phi", phi, ref_phi, p*m*k*L);
-	free(phi);
-	free(ref_phi);
-
-	Real* ref_rho = readArray_real("rho");
-	compareArray_real("rho", rho, ref_rho, m*m*k*L);
-	free(rho);
-	free(ref_rho);
-
-	Real* ref_pi = readArray_real("pi");
-	compareArray_real("pi", pi, ref_pi, k*L);
-	free(pi);
-	free(ref_pi);
-
-	Real* ref_llh = readArray_real("llh");
-	compareArray_real("llh", llh, ref_llh, L*2);
-	free(llh);
-	free(ref_llh);
-
-	return 0;
-}
diff --git a/src/test/test.constructionModelesLassoRank.c b/src/test/test.constructionModelesLassoRank.c
deleted file mode 100644
index f60ffea..0000000
--- a/src/test/test.constructionModelesLassoRank.c
+++ /dev/null
@@ -1,63 +0,0 @@
-#include "constructionModelesLassoRank.h"
-#include "test_utils.h"
-#include <stdlib.h>
-#include <math.h>
-
-int main(int argc, char** argv)
-{
-	int* dimensions = readArray_int("dimensions");
-	int n = dimensions[0];
-	int p = dimensions[1];
-	int m = dimensions[2];
-	int k = dimensions[3];
-	int L = dimensions[4];
-	free(dimensions);
-
-	////////////
-	// INPUTS //
-	Real* pi = readArray_real("pi");
-	Real* rho = readArray_real("rho");
-	int mini = read_int("mini");
-	int maxi = read_int("maxi");
-	Real* X = readArray_real("X");
-	Real* Y = readArray_real("Y");
-	Real tau = read_real("tau");
-	int* A1 = readArray_int("A1");
-	int rangmin = read_int("rangmin");
-	int rangmax = read_int("rangmax");
-	////////////
-
-	/////////////
-	// OUTPUTS //
-	int Size = (int)pow(rangmax-rangmin+1, k);
-	Real* phi = (Real*)malloc(p*m*k*L*Size*sizeof(Real));
-	Real* llh = (Real*)malloc(L*Size*2*sizeof(Real));
-	/////////////
-
-	/////////////////////////////////////////
-	// Call to constructionModelesLassoMLE //
-	constructionModelesLassoRank_core(
-		pi,rho,mini,maxi,X,Y,tau,A1,rangmin,rangmax,
-		phi,llh,
-		n,p,m,k,L);
-	/////////////////////////////////////////
-
-	free(rho);
-	free(pi);
-	free(X);
-	free(Y);
-	free(A1);
-
-	// Compare to reference outputs
-	Real* ref_phi = readArray_real("phi");
-	compareArray_real("phi", phi, ref_phi, p*m*k*L*Size);
-	free(phi);
-	free(ref_phi);
-
-	Real* ref_llh = readArray_real("llh");
-	compareArray_real("llh", llh, ref_llh, L*Size*2);
-	free(llh);
-	free(ref_llh);
-
-	return 0;
-}
diff --git a/src/test/test.selectiontotale.c b/src/test/test.selectiontotale.c
deleted file mode 100644
index 843a04d..0000000
--- a/src/test/test.selectiontotale.c
+++ /dev/null
@@ -1,77 +0,0 @@
-#include "selectiontotale.h"
-#include "test_utils.h"
-#include <stdlib.h>
-
-int main(int argc, char** argv)
-{
-	int* dimensions = readArray_int("dimensions");
-	int n = dimensions[0];
-	int p = dimensions[1];
-	int m = dimensions[2];
-	int k = dimensions[3];
-	int L = dimensions[4];
-	free(dimensions);
-
-	////////////
-	// INPUTS //
-	Real* phiInit = readArray_real("phiInit");
-	Real* rhoInit = readArray_real("rhoInit");
-	Real* piInit = readArray_real("piInit");
-	Real* gamInit = readArray_real("gamInit");
-	int mini = read_int("mini");
-	int maxi = read_int("maxi");
-	Real gamma = read_real("gamma");
-	Real* glambda = readArray_real("glambda");
-	Real* X = readArray_real("X");
-	Real* Y = readArray_real("Y");
-	Real seuil = read_real("seuil");
-	Real tau = read_real("tau");
-	////////////
-
-	/////////////
-	// OUTPUTS //
-	int* A1 = (int*)malloc(p*(m+1)*L*sizeof(int));
-	int* A2 = (int*)malloc(p*(m+1)*L*sizeof(int));
-	Real* Rho = (Real*)malloc(m*m*k*L*sizeof(Real));
-	Real* Pi = (Real*)malloc(k*L*sizeof(Real));
-	/////////////
-
-	/////////////////////////////////////////
-	// Call to constructionModelesLassoMLE //
-	selectiontotale_core(
-		phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,glambda,X,Y,seuil,tau,
-		A1,A2,Rho,Pi,
-		n,p,m,k,L);
-	/////////////////////////////////////////
-
-	free(phiInit);
-	free(rhoInit);
-	free(piInit);
-	free(gamInit);
-	free(glambda);
-	free(X);
-	free(Y);
-
-	// Compare to reference outputs
-	int* ref_A1 = readArray_int("A1");
-	compareArray_int("A1", A1, ref_A1, p*(m+1)*L);
-	free(A1);
-	free(ref_A1);
-
-	int* ref_A2 = readArray_int("A2");
-	compareArray_int("A2", A2, ref_A2, p*(m+1)*L);
-	free(A2);
-	free(ref_A2);
-
-	Real* ref_Rho = readArray_real("Rho");
-	compareArray_real("Rho", Rho, ref_Rho, m*m*k*L);
-	free(Rho);
-	free(ref_Rho);
-
-	Real* ref_Pi = readArray_real("Pi");
-	compareArray_real("Pi", Pi, ref_Pi, k*L);
-	free(Pi);
-	free(ref_Pi);
-
-	return 0;
-}