#'@title Summary of ebmpmf output
#'@export
#'
plot_stm = function(EL,EF){
}
# summary_stm = function(fit_obj,lambda,makeplot=T,typef='l'){
# K = fit_obj$input$K
# X = fit_obj$input$X
# print(paste0('Mean KL:',round(mKL(lambda,fit_obj$Lambda_hat),5)))
# print(paste0('Log likelihood:',round(fit_obj$loglik[length(fit_obj$loglik)]),5))
# #print(paste0("Sum of EZ:",sum(fit_obj$EZ)))
# if(makeplot){
#
# par(mfrow=c(1,2))
# image(lambda,main='True lambda')
# image(fit_obj$Lambda_hat,main='Estimated lambda')
# nr = floor(sqrt(K))
# nc = ceiling(K/nr)
#
# lf = poisson2multinom(t(fit_obj$qf$Ef),fit_obj$ql$El)
#
# par(mfrow=c(nr,nc))
# for(i in 1:K){
# barplot(lf$L[,i],main=paste0('ebmpmf:estimate of loading',i),ylab = '')
# }
# for(i in 1:K){
# plot(lf$FF[,i],main=paste0('ebmpmf:estimate of factor',i),ylab = '',type=typef)
# }
# }
# par(mfrow=c(1,1))
# }
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