#' gibbsHMM
#'
#' density of dirichlet
#' @param x, alpha, log=False
#' @keywords dirichlet
#' @export
#' @examples dDirichlet(c(.1, .9), c(0.1,0.1))
makeStartSimpler<-function(Y,k=K){
n<-length(Y)
states0<-rep(0,n)
# split data by quantiles & compute allocations
states0<-as.numeric(cut2(Y, m=5, g=k))
# randomize label names
states0<-as.factor(states0)
levels(states0)<-sample(levels(states0), k)
states0<-as.numeric( as.character(states0))
# initstates0<-sample(c(1:k), size=1, prob=rep(1/k,k))
# states0<-c(initstates0, states0)
return(states0)
}
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