X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=test%2Fgenerate_test_data%2FEMGLLF.R;h=fce0a8fa639d2ebc511623ecfd4bc1b0a801c1ce;hp=374b8437f82f05ab8d4230143d83ce30beffaccb;hb=435cb8419ebcdb624aa053f351c981133d58d6b6;hpb=21f6928a1de17587da10bac81765cb433fe16581 diff --git a/test/generate_test_data/EMGLLF.R b/test/generate_test_data/EMGLLF.R index 374b843..fce0a8f 100644 --- a/test/generate_test_data/EMGLLF.R +++ b/test/generate_test_data/EMGLLF.R @@ -1,4 +1,4 @@ -EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) +EMGLLF_R = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) { #matrix dimensions n = dim(X)[1] @@ -17,7 +17,6 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) Gram2 = array(0, dim=c(p,p,k)) ps2 = array(0, dim=c(p,m,k)) b = rep(0, k) - pen = matrix(0, maxi, k) X2 = array(0, dim=c(n,p,k)) Y2 = array(0, dim=c(n,m,k)) dist = 0 @@ -51,17 +50,17 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) Gram2[j,s,r] = crossprod(X2[,j,r], X2[,s,r]) } } - + ########## #Etape M # ########## #pour pi - for (r in 1:k){ - b[r] = sum(abs(phi[,,r]))} + for (r in 1:k) + b[r] = sum(abs(phi[,,r])) gam2 = colSums(gam) a = sum(gam %*% log(pi)) - + #tant que les props sont negatives kk = 0 pi2AllPositive = FALSE @@ -72,7 +71,7 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) kk = kk+1 } - #t[m] la plus grande valeur dans la grille O.1^k tel que ce soit décroissante ou constante + #t(m) la plus grande valeur dans la grille O.1^k tel que ce soit décroissante ou constante while( kk < 1000 && -a/n + lambda * sum(pi^gamma * b) < -sum(gam2 * log(pi2))/n + lambda * sum(pi2^gamma * b) ) { @@ -81,7 +80,7 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) } t = 0.1^kk pi = (pi + t*(pi2-pi)) / sum(pi + t*(pi2-pi)) - + #Pour phi et rho for (r in 1:k) { @@ -94,16 +93,17 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) ps[mm,r] = sum(ps1[,mm,r]) nY2[mm,r] = sum(Y2[,mm,r]^2) rho[mm,mm,r] = (ps[mm,r]+sqrt(ps[mm,r]^2+4*nY2[mm,r]*gam2[r])) / (2*nY2[mm,r]) - } + } } + for (r in 1:k) { for (j in 1:p) { for (mm in 1:m) { - S[j,mm,r] = -rho[mm,mm,r]*ps2[j,mm,r] + sum(phi[-j,mm,r] * Gram2[j, setdiff(1:p,j),r]) - if (abs(S[j,mm,r]) <= n*lambda*(pi[r]^gamma)) + S[j,mm,r] = -rho[mm,mm,r]*ps2[j,mm,r] + sum(phi[-j,mm,r] * Gram2[j,-j,r]) + if (abs(S[j,mm,r]) <= n*lambda*(pi[r]^gamma)) phi[j,mm,r]=0 else if(S[j,mm,r] > n*lambda*(pi[r]^gamma)) phi[j,mm,r] = (n*lambda*(pi[r]^gamma)-S[j,mm,r]) / Gram2[j,j,r] @@ -116,19 +116,20 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) ########## #Etape E # ########## - sumLogLLF2 = 0 + + sumLogLLF2 = 0 for (i in 1:n) { #precompute sq norms to numerically adjust their values sqNorm2 = rep(0,k) - for (r in 1:k){ - sqNorm2[r] = sum( (Y[i,]%*%rho[,,r]-X[i,]%*%phi[,,r])^2 )} + for (r in 1:k) + sqNorm2[r] = sum( (Y[i,]%*%rho[,,r]-X[i,]%*%phi[,,r])^2 ) - #compute Gam(:,:) using shift determined above + #compute Gam[,] sumLLF1 = 0.0; for (r in 1:k) { - Gam[i,r] = pi[r] * exp(-0.5*sqNorm2[r])* det(rho[,,r]) + Gam[i,r] = pi[r] * exp(-0.5*sqNorm2[r]) * det(rho[,,r]) sumLLF1 = sumLLF1 + Gam[i,r] / (2*base::pi)^(m/2) } sumLogLLF2 = sumLogLLF2 + log(sumLLF1) @@ -141,9 +142,7 @@ EMGLLF = function(phiInit,rhoInit,piInit,gamInit,mini,maxi,gamma,lambda,X,Y,tau) sumPen = sum(pi^gamma * b) LLF[ite] = -sumLogLLF2/n + lambda*sumPen - dist = ifelse( ite == 1, LLF[ite], (LLF[ite]-LLF[ite-1]) / (1+abs(LLF[ite])) ) - Dist1 = max( (abs(phi-Phi)) / (1+abs(phi)) ) Dist2 = max( (abs(rho-Rho)) / (1+abs(rho)) ) Dist3 = max( (abs(pi-Pi)) / (1+abs(Pi)) )