- #Etape E et calcul de LLF
- sumLogLLF2 = 0
- for(i in 1:n){
- sumLLF1 = 0
- maxLogGamIR = -Inf
- for(r in 1:k){
- dotProduct = tcrossprod(Y[i,]%*%Rho[,,r]-X[i,]%*%phi[,,r])
- logGamIR = log(Pi[r]) + log(det(Rho[,,r])) - 0.5*dotProduct
- #Z[i] = index of max (gam[i,])
- if(logGamIR > maxLogGamIR){
- Z[i] = r
- maxLogGamIR = logGamIR
- }
- sumLLF1 = sumLLF1 + exp(logGamIR) / (2*pi)^(m/2)
- }
- sumLogLLF2 = sumLogLLF2 + log(sumLLF1)
- }
-
- LLF = -1/n * sumLogLLF2
-
- #update distance parameter to check algorithm convergence (delta(phi, Phi))
- deltaPhi = c(deltaPhi, max(max(max((abs(phi-Phi))/(1+abs(phi))))) )
- if(length(deltaPhi) > deltaPhiBufferSize){
- deltaPhi = deltaPhi[2:length(deltaPhi)]
- }
- sumDeltaPhi = sum(abs(deltaPhi))
-
- #update other local variables
- Phi = phi
- ite = ite+1
-
+ LLF = -1/n * sumLogLLF2
+
+ #update distance parameter to check algorithm convergence (delta(phi, Phi))
+ deltaPhi = c( deltaPhi, max( (abs(phi-Phi)) / (1+abs(phi)) ) ) #TODO: explain?
+ if (length(deltaPhi) > deltaPhiBufferSize)
+ deltaPhi = deltaPhi[2:length(deltaPhi)]
+ sumDeltaPhi = sum(abs(deltaPhi))
+
+ #update other local variables
+ Phi = phi
+ ite = ite+1