Nothing
### For general methods.
fclust <- function(X.gbd, PV.gbd, K = 2,
PARAM.init = NULL,
min.1st.prop = .FC.CT$INIT$min.1st.prop,
max.PV = .FC.CT$INIT$max.PV,
class.method = .FC.CT$INIT$class.method[1],
RndEM.iter = .FC.CT$CONTROL$RndEM.iter,
algorithm = .FC.CT$algorithm[1],
model.X = .FC.CT$model.X[1],
ignore.X = .FC.CT$ignore.X,
stop.unstable = TRUE,
MPI.gbd = .FC.CT$MPI.gbd, common.gbd = .FC.CT$common.gbd){
if(any(PV.gbd == 0 | PV.gbd == 1)){
stop("PV.gbd should be in (0, 1) and exclude 0 and 1.")
}
if(algorithm[1] %in% .FC.CT$algorithm){
if(is.null(PARAM.init)){
### guess initial values.
PARAM.org <- set.global(X.gbd, PV.gbd, K = K,
min.1st.prop = min.1st.prop,
max.PV = max.PV,
class.method = class.method[1],
RndEM.iter = RndEM.iter,
algorithm = algorithm[1],
model.X = model.X[1],
ignore.X = ignore.X,
MPI.gbd = MPI.gbd, common.gbd = common.gbd)
PARAM <- initial.RndEM.gbd(PARAM.org)
} else{
### use initial values.
PARAM.org <- set.global(X.gbd, PV.gbd, K = PARAM.init$K,
min.1st.prop = PARAM.init$min.1st.prop,
max.PV = PARAM.init$max.PV,
class.method = class.method[1],
RndEM.iter = 0,
algorithm = algorithm[1],
model.X = model.X[1],
ignore.X = ignore.X,
MPI.gbd = MPI.gbd, common.gbd = common.gbd)
PARAM <- PARAM.org
PARAM$ETA <- PARAM.init$ETA
PARAM$BETA <- PARAM.init$BETA
PARAM$MU <- PARAM.init$MU
PARAM$SIGMA <- PARAM.init$SIGMA
e.step.gbd(PARAM)
em.update.class.gbd()
}
### Check # of class.
N.CLASS <- get.N.CLASS(PARAM$K)
if(any(N.CLASS < PARAM$min.N.CLASS)){
if(stop.unstable){
stop("Initialization may be unstable (N.CLASS < min.N.CLASS).")
}
}
### Check SIGMA
if(PARAM$p.X > 0){
tmp.check <- lapply(PARAM$SIGMA, function(x){ x$U.check })
if(!all(do.call("c", tmp.check))){
if(stop.unstable){
stop("Initialization may be unstable (SIGMA fails).")
}
}
}
### Run from the stable initialization.
method.step <- switch(algorithm[1],
"em" = em.step.gbd,
"apecma" = apecma.step.gbd,
"ecm" = ecm.step.gbd,
NULL)
PARAM.new <- method.step(PARAM)
PARAM.new$entropy <- entropy.step.gbd()
em.update.class.gbd()
# Get class numbers.
N.CLASS <- get.N.CLASS(K)
# Get IC's.
AIC <- aic(PARAM.new)
BIC <- bic(PARAM.new)
ICL.BIC <- icl.bic(PARAM.new)
# For return.
ret <- list(algorithm = algorithm[1],
model.X = model.X[1],
ignore.X = ignore.X,
param = PARAM.new,
check = .MixfMRIEnv$CHECK,
n.class = N.CLASS,
aic = AIC,
bic = BIC,
icl.bic = ICL.BIC,
class = .MixfMRIEnv$CLASS.gbd,
posterior = .MixfMRIEnv$Z.gbd)
} else{
stop("The algorithm is not found.")
}
class(ret) <- "fclust"
ret
} # end of fclust().
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