#' @title Summary of \code{slapmeg} objects
#'
#' @description Provides a summary of values estimated with SLaPMEG approach within \code{slapmeg}
#' and \code{pairslapmeg} objects.
#'
#' @aliases summary.slapmeg
#'
#' @param object an object inheriting from classes \code{slapmeg}
#' @param \dots further arguments to be passed to or from other methods, which will be ignored in this
#' function.
#' @return 'Returns the fixed effect estimates and random effects variances from the model in step 1
#' and the details of Globaltest along with p-value from step 2.
#'
#' @author Mitra Ebrahimpoor
#'
#' @seealso \code{\link{slapmeg}}, \code{\link{pairslapmeg}},
#'
#' @keywords summary
#'
#' @export
#'
summary.slapmeg<- function(object,...){
if (!inherits(object, "slapmeg")) stop("use only with \"slapmeg\" objects")
cat("Shared latent Process Mixed Effects modeling with GLobaltest", "\n")
if(object$slapmethod=="pairwise") cat(" fitted based on the pairwise approach ","\n")
else cat(" fitted based on the Joint likelihood", "\n")
cat(" \n")
dput(object$call)
cat(" \n")
cat("Dataset", "\n")
cat(" Dataset name:", object$call$data,"\n")
cat(" Number of subjects:", object$nsubj,"\n")
cat(" Grouping:",paste0(names(object$tgroup)),"\n")
cat(" ",paste0(object$tgroup),"\n")
cat(" Repeated measures:", paste(names(object$nrep)),"\n")
cat(" ", paste(object$nrep),"\n")
cat(" \n")
cat("Shared latent Process meodel (Step 1) : \n")
if(object$slapconv%%1!=0) cat(" Convergence criteria satisfied for",round(object$slapconv,2),
"of the pairwise models", "\n")
if(object$slapconv==1) cat(" Model(s) Converged \n")
if(object$slapconv==2) cat(" Maximum number of iteration reached without convergence \n")
if(object$slapconv==3) cat(" Convergence with restrained Hessian matrix \n")
if(object$slapconv==4|object$slapconv==12) {
cat(" The program stopped abnormally. No results can be displayed.\n")
}else{
cat(paste(" Number of parameters:", length(object$SLaP.par))," \n")
cat(paste(" The Pathway:", paste0(object$Ynames, collapse = ", ")),"\n")
cat(" Fixed effect terms:", object$fixedform,"\n")
cat(" Subject-specific random effect terms:", object$randform,"\n")
cat(" \n")
cat(" \n")
cat("Estimated parameters: \n")
cat("intercept is not estimated \n")
print(object$SLaP.par)
cat(" \n")
cat("Globaltest (Step 2):", "\n")
cat(paste(" p-value:", format(object$Globaltest[1],digits=4,scientific=TRUE)),"\n")
cat(paste(" Test statistic:", format(object$Globaltest[2],digits=4,scientific=TRUE)),"\n")
cat(paste(" Expected value:", object$Globaltest[3]),"\n")
cat(paste(" Std.dev:", format(object$Globaltest[4]),digits=4,scientific=TRUE),"\n")
cat(paste(" #Cov:", object$Globaltest[5]),"\n")
cat(paste(" GT.model:", object$Globaltest[6]),"\n")
}
}
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