Nothing
### This file contains major functions for EM iterations.
### E-step.
e.step.gbd <- function(PARAM, update.logL = TRUE){
for(i.k in 1:PARAM$K){
.MixfMRIEnv$logbetanorm(PARAM, i.k)
}
compute.expectation(PARAM, update.logL = update.logL)
invisible()
} # End of e.step.gbd().
### z_nk / sum_k z_n might have numerical problems if z_nk all underflowed.
compute.expectation <- function(PARAM, update.logL = TRUE){
N.gbd <- PARAM$N.gbd
K <- PARAM$K
.MixfMRIEnv$U.gbd <- W.plus.y(.MixfMRIEnv$W.gbd, PARAM$log.ETA, N.gbd, K)
.MixfMRIEnv$Z.gbd <- exp(.MixfMRIEnv$U.gbd)
tmp.id <- rowSums(.MixfMRIEnv$U.gbd < .MixfMRIEnv$CONTROL$exp.min) == K |
rowSums(.MixfMRIEnv$U.gbd > .MixfMRIEnv$CONTROL$exp.max) > 0
tmp.flag <- sum(tmp.id)
if(tmp.flag > 0){
tmp.gbd <- .MixfMRIEnv$U.gbd[tmp.id,]
if(tmp.flag == 1){
tmp.scale <- max(tmp.gbd) - .MixfMRIEnv$CONTROL$exp.max / K
} else{
tmp.scale <- unlist(apply(tmp.gbd, 1, max)) -
.MixfMRIEnv$CONTROL$exp.max / K
}
.MixfMRIEnv$Z.gbd[tmp.id,] <- exp(tmp.gbd - tmp.scale)
}
.MixfMRIEnv$W.gbd.rowSums <- rowSums(.MixfMRIEnv$Z.gbd)
.MixfMRIEnv$Z.gbd <- .MixfMRIEnv$Z.gbd / .MixfMRIEnv$W.gbd.rowSums
.MixfMRIEnv$Z.colSums <- colSums.gbd(.MixfMRIEnv$Z.gbd)
if(update.logL){
.MixfMRIEnv$W.gbd.rowSums <- log(.MixfMRIEnv$W.gbd.rowSums)
if(tmp.flag > 0){
.MixfMRIEnv$W.gbd.rowSums[tmp.id] <-
.MixfMRIEnv$W.gbd.rowSums[tmp.id] + tmp.scale
}
}
invisible()
} # End of compute.expectation().
### M-step.
m.step.gbd <- function(PARAM){
### MLE For ETA
PARAM$ETA <- .MixfMRIEnv$Z.colSums / sum(.MixfMRIEnv$Z.colSums)
if(PARAM$ETA[1] <= PARAM$min.1st.prop){
PARAM$ETA <- c(PARAM$min.1st.prop,
(1 - PARAM$min.1st.prop) * .MixfMRIEnv$Z.colSums[-1] /
sum(.MixfMRIEnv$Z.colSums[-1]))
}
PARAM$log.ETA <- log(PARAM$ETA)
### MLE for BETA, MU, and SIGMA
p.X <- PARAM$p.X
for(i.k in 1:PARAM$K){
#### MLE for BETA
PARAM$BETA[[i.k]] <- cm.step.gbd.BETA.k(PARAM, i.k)
### MLE for MU and SIGMA
if(PARAM$p.X > 0){
PARAM$MU[, i.k] <- cm.step.gbd.MU.k(PARAM, i.k)
PARAM$SIGMA[[i.k]] <- cm.step.gbd.SIGMA.k(PARAM, i.k)
}
}
PARAM
} # End of m.step.gbd().
### log likelihood.
logL.step.gbd <- function(){
sum_gbd(.MixfMRIEnv$W.gbd.rowSums)
} # End of logL.step.gbd().
### entropy.
entropy.step.gbd <- function(){
tmp.gbd <- .MixfMRIEnv$Z.gbd * log(.MixfMRIEnv$Z.gbd)
tmp.gbd[! is.finite(tmp.gbd)] <- 0
-sum_gbd(tmp.gbd)
} # End of entropy.step.gbd().
### Check log likelihood convergence.
check.em.convergence <- function(PARAM.org, PARAM.new, i.iter){
abs.err <- PARAM.new$logL - PARAM.org$logL
rel.err <- abs.err / abs(PARAM.org$logL)
convergence <- 0
if(abs.err < 0){
convergence <- 4
} else if(i.iter > .MixfMRIEnv$CONTROL$max.iter){
convergence <- 2
} else if(rel.err < .MixfMRIEnv$CONTROL$rel.err){
convergence <- 1
}
if(.MixfMRIEnv$CONTROL$debug > 1){
.MixfMRIEnv$cat(" check.em.convergence:",
" abs: ", abs.err,
", rel: ", rel.err,
", conv: ", convergence, "\n",
sep = "", quiet = TRUE)
}
list(algorithm = .MixfMRIEnv$CHECK$algorithm,
iter = i.iter, abs.err = abs.err, rel.err = rel.err,
convergence = convergence)
} # End of check.em.convergence().
### EM-step.
em.step.gbd <- function(PARAM.org){
.MixfMRIEnv$CHECK <- list(algorithm = "em", i.iter = 0, abs.err = Inf,
rel.err = Inf, convergence = 0)
i.iter <- 1
PARAM.org$logL <- -.Machine$double.xmax
### For debugging.
if((!is.null(.MixfMRIEnv$CONTROL$save.log)) &&
.MixfMRIEnv$CONTROL$save.log){
if(! exists("SAVE.iter", envir = .MixfMRIEnv)){
.MixfMRIEnv$SAVE.param <- NULL
.MixfMRIEnv$SAVE.iter <- NULL
.MixfMRIEnv$CLASS.iter.org <- unlist(apply(.MixfMRIEnv$Z.gbd, 1,
which.max))
}
}
repeat{
### For debugging.
if((!is.null(.MixfMRIEnv$CONTROL$save.log)) &&
.MixfMRIEnv$CONTROL$save.log){
time.start <- proc.time()
}
PARAM.new <- try(em.onestep.gbd(PARAM.org), silent = TRUE)
if(.MixfMRIEnv$any(inherits(PARAM.new, "try-error"))){
.MixfMRIEnv$cat("Results of previous iterations are returned.\n",
quiet = TRUE)
.MixfMRIEnv$CHECK$convergence <- 99
PARAM.new <- PARAM.org
break
}
.MixfMRIEnv$CHECK <- check.em.convergence(PARAM.org, PARAM.new, i.iter)
if(.MixfMRIEnv$CHECK$convergence > 0){
break
}
### For debugging.
if((!is.null(.MixfMRIEnv$CONTROL$save.log)) &&
.MixfMRIEnv$CONTROL$save.log){
tmp.time <- proc.time() - time.start
.MixfMRIEnv$SAVE.param <- c(.MixfMRIEnv$SAVE.param, PARAM.new)
CLASS.iter.new <- unlist(apply(.MixfMRIEnv$Z.gbd, 1, which.max))
tmp <- sum_gbd(CLASS.iter.new != .MixfMRIEnv$CLASS.iter.org)
tmp.all <- c(tmp / PARAM.new$N, PARAM.new$logL,
PARAM.new$logL - PARAM.org$logL,
(PARAM.new$logL - PARAM.org$logL) / PARAM.org$logL)
.MixfMRIEnv$SAVE.iter <- rbind(.MixfMRIEnv$SAVE.iter,
c(tmp, tmp.all, tmp.time))
.MixfMRIEnv$CLASS.iter.org <- CLASS.iter.new
}
PARAM.org <- PARAM.new
i.iter <- i.iter + 1
}
PARAM.new
} # End of em.step.gbd().
em.onestep.gbd <- function(PARAM){
PARAM <- m.step.gbd(PARAM)
e.step.gbd(PARAM)
PARAM$logL <- logL.step.gbd()
if(.MixfMRIEnv$CONTROL$debug > 0){
.MixfMRIEnv$cat(">>em.onestep: ", format(Sys.time(), "%H:%M:%S"),
", iter: ", .MixfMRIEnv$CHECK$iter, ", logL: ",
sprintf("%-30.15f", PARAM$logL), "\n",
sep = "", quiet = TRUE)
if(.MixfMRIEnv$CONTROL$debug > 4){
logL <- .MixfMRIEnv$indep.logL(PARAM)
.MixfMRIEnv$cat(" >>indep.logL: ", sprintf("%-30.15f", logL), "\n",
sep = "", quiet = TRUE)
}
if(.MixfMRIEnv$CONTROL$debug > 20){
mb.print(PARAM, .MixfMRIEnv$CHECK)
}
}
PARAM
} # End of em.onestep.gbd().
### Obtain classifications.
em.update.class.gbd <- function(){
.MixfMRIEnv$CLASS.gbd <- unlist(apply(.MixfMRIEnv$Z.gbd, 1, which.max))
invisible()
} # End of em.update.class.gbd().
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