R/print.hlme.R

In lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

#' @export
#'
print.hlme <- function(x,...){
if (!inherits(x, "hlme")) stop("use only with \"hlme\" objects")

#cat("\nCall:\n", deparse(x$call), "\n\n", sep = "")
  
if(inherits(x, "externVar")){
  cat("Secondary linear mixed model", "\n")
} else {
  cat("Heterogenous linear mixed model", "\n")
}
cat("     fitted by maximum likelihood method", "\n")
if(inherits(x, "externVar")){
  if(x$varest == "none") cat("     primary model variance not accounted for", "\n")
  if(x$varest == "Hessian") cat("     primary model variance accounted for through the hessian of the joint likelihood", "\n")
  if(x$varest == "paramBoot") cat("     primary model variance accounted for through parametric boostrap", "\n")
}

cl <- x$call
cl$B <- NULL
 if(is.data.frame(cl$data))
     {
         cl$data <- NULL
         x$call$data <- NULL    
     }
cat(" \n")
dput(cl)
cat(" \n")

posfix <- eval(cl$posfix)

cat("Statistical Model:", "\n")
cat(paste("     Dataset:", as.character(as.expression(x$call$data))),"\n")
cat(paste("     Number of subjects:", x$ns),"\n")
cat(paste("     Number of observations:", length(x$pred[,1])),"\n")
if(length(x$na.action))cat(paste("     Number of observations deleted:",length(x$na.action)),"\n")
cat(paste("     Number of latent classes:", x$ng), "\n")
cat(paste("     Number of parameters:", length(x$best))," \n")
 if(length(posfix)) cat(paste("     Number of estimated parameters:", length(x$best)-length(posfix))," \n")
cat(" \n")
cat("Iteration process:", "\n")

if(x$conv==1) cat("     Convergence criteria satisfied")
if(x$conv==2) cat("     Maximum number of iteration reached without convergence")
if(x$conv==4|x$conv==5)  {
cat("     The program stopped abnormally. No results can be displayed.\n")
}else{



cat(" \n")
  if(inherits(x, "externVar")) {
    if(x$varest == "paramBoot"){
      cat("     Proportion of convergence on bootstrap iterations (%)=", x$Mconv, "\n")
    } else {
      cat("     Number of iterations: ", x$niter, "\n")
      cat("     Convergence criteria: parameters=", signif(x$gconv[1],2), "\n")
      cat("                         : likelihood=", signif(x$gconv[2],2), "\n")
      cat("                         : second derivatives=", signif(x$gconv[3],2), "\n")
    }
  } else {
    cat("     Number of iterations: ", x$niter, "\n")
    cat("     Convergence criteria: parameters=", signif(x$gconv[1],2), "\n")
    cat("                         : likelihood=", signif(x$gconv[2],2), "\n")
    cat("                         : second derivatives=", signif(x$gconv[3],2), "\n")
  }
cat(" \n")
cat("Goodness-of-fit statistics:", "\n")
cat(paste("     maximum log-likelihood:", round(x$loglik,2))," \n")
cat(paste("     AIC:", round(x$AIC,2))," \n")
cat(paste("     BIC:", round(x$BIC,2))," \n")
cat(" \n")
cat(" \n")

}
}