Real* pi, // parametre des proportions renormalisé, calculé par l'EM
Real* LLF, // log vraisemblance associée à cet échantillon, pour les valeurs estimées des paramètres
Real* S,
+ int* affec,
// additional size parameters
int n, // nombre d'echantillons
int p, // nombre de covariables
const Real EPS = 1e-15;
// Additional (not at this place, in R file)
Real* gam2 = (Real*)malloc(k*sizeof(Real));
- Real* nY21 = (Real*)malloc(n*m*k*sizeof(Real));
Real* sqNorm2 = (Real*)malloc(k*sizeof(Real));
gsl_matrix* matrix = gsl_matrix_alloc(m, m);
gsl_permutation* permutation = gsl_permutation_alloc(m);
{
//Y2[,mm,r] = sqrt(gam[,r]) * Y[,mm]
for (int u=0; u<n; u++)
- Y2[ai(u,mm,r,n,m,k)] = sqrt(gam[mi(u,r,n,k)]) * Y[mi(u,mm,m,n)];
+ Y2[ai(u,mm,r,n,m,k)] = sqrt(gam[mi(u,r,n,k)]) * Y[mi(u,mm,n,m)];
}
for (int i=0; i<n; i++)
{
kk++;
}
- //(pi.^gamma)*b
+ //sum(pi^gamma * b)
Real piPowGammaDotB = 0.;
for (int v=0; v<k; v++)
piPowGammaDotB += pow(pi[v],gamma) * b[v];
- //(pi2.^gamma)*b
+ //sum(pi2^gamma * b)
Real pi2PowGammaDotB = 0.;
for (int v=0; v<k; v++)
pi2PowGammaDotB += pow(pi2[v],gamma) * b[v];
- //transpose(gam2)*log(pi2)
- Real prodGam2logPi2 = 0.;
+ //sum(gam2 * log(pi2))
+ Real gam2DotLogPi2 = 0.;
for (int v=0; v<k; v++)
- prodGam2logPi2 += gam2[v] * log(pi2[v]);
+ gam2DotLogPi2 += gam2[v] * log(pi2[v]);
+
//t(m) la plus grande valeur dans la grille O.1^k tel que ce soit décroissante ou constante
- while (-invN*a + lambda*piPowGammaDotB < -invN*prodGam2logPi2 + lambda*pi2PowGammaDotB
+ while (-invN*a + lambda*piPowGammaDotB < -invN*gam2DotLogPi2 + lambda*pi2PowGammaDotB
&& kk<1000)
{
Real pow_01_kk = pow(0.1,kk);
//pi2 = pi + 0.1^kk * (1/n*gam2 - pi)
for (int v=0; v<k; v++)
pi2[v] = pi[v] + pow_01_kk * (invN*gam2[v] - pi[v]);
- //pi2 was updated, so we recompute pi2PowGammaDotB and prodGam2logPi2
+ //pi2 was updated, so we recompute pi2PowGammaDotB and gam2DotLogPi2
pi2PowGammaDotB = 0.;
for (int v=0; v<k; v++)
pi2PowGammaDotB += pow(pi2[v],gamma) * b[v];
- prodGam2logPi2 = 0.;
+ gam2DotLogPi2 = 0.;
for (int v=0; v<k; v++)
- prodGam2logPi2 += gam2[v] * log(pi2[v]);
+ gam2DotLogPi2 += gam2[v] * log(pi2[v]);
kk++;
}
Real t = pow(0.1,kk);
{
for (int i=0; i<n; i++)
{
- //< X2(i,:,r) , phi(:,mm,r) >
+ //< X2[i,,r] , phi[,mm,r] >
Real dotProduct = 0.;
for (int u=0; u<p; u++)
dotProduct += X2[ai(i,u,r,n,p,k)] * phi[ai(u,mm,r,p,m,k)];
//ps1[i,mm,r] = Y2[i,mm,r] * sum(X2[i,,r] * phi[,mm,r])
ps1[ai(i,mm,r,n,m,k)] = Y2[ai(i,mm,r,n,m,k)] * dotProduct;
- nY21[ai(i,mm,r,n,m,k)] = Y2[ai(i,mm,r,n,m,k)] * Y2[ai(i,mm,r,n,m,k)];
}
//ps[mm,r] = sum(ps1[,mm,r])
Real sumPs1 = 0.;
for (int u=0; u<n; u++)
sumPs1 += ps1[ai(u,mm,r,n,m,k)];
ps[mi(mm,r,m,k)] = sumPs1;
- //nY2[mm,r] = sum(nY21[,mm,r])
- Real sumNy21 = 0.;
+ //nY2[mm,r] = sum(Y2[,mm,r]^2)
+ Real sumY2 = 0.;
for (int u=0; u<n; u++)
- sumNy21 += nY21[ai(u,mm,r,n,m,k)];
- nY2[mi(mm,r,m,k)] = sumNy21;
+ sumY2 += Y2[ai(u,mm,r,n,m,k)] * Y2[ai(u,mm,r,n,m,k)];
+ nY2[mi(mm,r,m,k)] = sumY2;
//rho[mm,mm,r] = (ps[mm,r]+sqrt(ps[mm,r]^2+4*nY2[mm,r]*(gam2[r]))) / (2*nY2[mm,r])
rho[ai(mm,mm,r,m,m,k)] = ( ps[mi(mm,r,m,k)] + sqrt( ps[mi(mm,r,m,k)]*ps[mi(mm,r,m,k)]
+ 4*nY2[mi(mm,r,m,k)] * gam2[r] ) ) / (2*nY2[mi(mm,r,m,k)]);
}
}
+
for (int r=0; r<k; r++)
{
for (int j=0; j<p; j++)
for (int mm=0; mm<m; mm++)
{
//sum(phi[-j,mm,r] * Gram2[j, setdiff(1:p,j),r])
- Real dotPhiGram2 = 0.0;
+ Real phiDotGram2 = 0.;
for (int u=0; u<p; u++)
{
if (u != j)
- dotPhiGram2 += phi[ai(u,mm,r,p,m,k)] * Gram2[ai(j,u,r,p,p,k)];
+ phiDotGram2 += phi[ai(u,mm,r,p,m,k)] * Gram2[ai(j,u,r,p,p,k)];
}
- //S[j,mm,r] = -rho[mm,mm,r]*ps2[j,mm,r] + sum(phi[-j,mm,r] * Gram2[j, setdiff(1:p,j),r])
- S[ai(j,mm,r,p,m,k)] = -rho[ai(mm,mm,r,m,m,k)] * ps2[ai(j,mm,r,p,m,k)] + dotPhiGram2;
- Real pow_pir_gamma = pow(pi[r],gamma);
- if (fabs(S[ai(j,mm,r,p,m,k)]) <= n*lambda*pow_pir_gamma)
- phi[ai(j,mm,r,p,m,k)] = 0;
- else if (S[ai(j,mm,r,p,m,k)] > n*lambda*pow_pir_gamma)
+ //S[j,mm,r] = -rho[mm,mm,r]*ps2[j,mm,r] + sum(phi[-j,mm,r] * Gram2[j,-j,r])
+ S[ai(j,mm,r,p,m,k)] = -rho[ai(mm,mm,r,m,m,k)] * ps2[ai(j,mm,r,p,m,k)] + phiDotGram2;
+ Real pirPowGamma = pow(pi[r],gamma);
+ if (fabs(S[ai(j,mm,r,p,m,k)]) <= n*lambda*pirPowGamma)
+ phi[ai(j,mm,r,p,m,k)] = 0.;
+ else if (S[ai(j,mm,r,p,m,k)] > n*lambda*pirPowGamma)
{
- phi[ai(j,mm,r,p,m,k)] = (n*lambda*pow_pir_gamma - S[ai(j,mm,r,p,m,k)])
+ phi[ai(j,mm,r,p,m,k)] = (n*lambda*pirPowGamma - S[ai(j,mm,r,p,m,k)])
/ Gram2[ai(j,j,r,p,p,k)];
}
else
{
- phi[ai(j,mm,r,p,m,k)] = -(n*lambda*pow_pir_gamma + S[ai(j,mm,r,p,m,k)])
+ phi[ai(j,mm,r,p,m,k)] = -(n*lambda*pirPowGamma + S[ai(j,mm,r,p,m,k)])
/ Gram2[ai(j,j,r,p,p,k)];
}
}
YiRhoR[u] += Y[mi(i,v,n,m)] * rho[ai(v,u,r,m,m,k)];
}
- //compute X(i,:)*phi(:,:,r)
+ //compute X[i,]%*%phi[,,r]
for (int u=0; u<m; u++)
{
XiPhiR[u] = 0.;
sumLLF1 += Gam[mi(i,r,n,k)] / gaussConstM;
sumGamI += Gam[mi(i,r,n,k)];
}
+
sumLogLLF2 += log(sumLLF1);
for (int r=0; r<k; r++)
{
ite++;
}
+ //affec = apply(gam, 1, which.max)
+ for (int i=0; i<n; i++)
+ {
+ Real rowMax = 0.;
+ affec[i] = 0;
+ for (int j=0; j<k; j++)
+ {
+ if (gam[mi(i,j,n,k)] > rowMax)
+ {
+ affec[i] = j+1; //R indices start at 1
+ rowMax = gam[mi(i,j,n,k)];
+ }
+ }
+ }
+
//free memory
free(b);
free(gam);
free(ps);
free(nY2);
free(ps1);
- free(nY21);
free(Gram2);
free(ps2);
gsl_matrix_free(matrix);
projects / valse.git / blobdiff