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#' Summary of Tree-Structured Varying Coefficient Models
#'
#' @description
#' Summary for an object of class \code{TSVC}, with an overview of all executed splits during the fitting process.
#'
#' @param object object of class \code{\link[TSVC]{TSVC}}.
#' @param x object of class \code{\link[TSVC]{summary.TSVC}}.
#' @param ... further arguments passed to or from other methods.
#'
#' @return object of class \code{"summary.TSVC"}. An object of class \code{"summary.TSVC"} is a list containing the
#' following components:
#'
#' \item{stats}{overview of detected varying coefficients, responsible effect modifiers and executed splits.}
#' \item{nosplits}{total number of executed splits during the fitting process.}
#'
#' @author
#' Moritz Berger <Moritz.Berger@imbie.uni-bonn.de> \cr \url{https://www.imbie.uni-bonn.de/people/dr-moritz-berger/}
#'
#'
#' @references
#' Berger, M., G. Tutz and M. Schmid (2019). Tree-Structured Modelling of Varying Coefficients. Statistics and Computing 29, 217-229,
#' https://doi.org/10.1007/s11222-018-9804-8.
#'
#' @seealso
#' \code{\link[TSVC]{TSVC}}, \code{\link[TSVC]{plot.TSVC}}, \code{\link[TSVC]{predict.TSVC}}
#'
#' @examples
#' # Swiss Labour Market
#' library(AER)
#' data("SwissLabor")
#'
#' # recode factors
#' sl <- SwissLabor
#' sl$participation <- as.numeric(sl$participation)-1
#' sl$foreign <- as.numeric(sl$foreign)-1
#'
#' \dontrun{
#' fit1 <- TSVC(participation~income+age, data=sl, family=binomial(link="logit"),
#' nperm=1000, trace=TRUE)
#' summary(fit1)
#' }
#'
#'
#' @method summary TSVC
#' @export
summary.TSVC <-
function(object, # object of class TSVC
...){
to_return <- list(call=object$call)
nvar <- ncol(object$X)
var_names<- colnames(object$X)
overview <- infos_summary(object,1:nvar)
overview$variable <- var_names
nos <- nrow(object$splits)
to_return$stats <- overview
to_return$nosplits <- nos
class(to_return) <- "summary.TSVC"
return(to_return)
}
#' @rdname summary.TSVC
#' @method print summary.TSVC
#' @export
print.summary.TSVC <-
function(x, # object of class summary.TSVC
...){
cat("\n")
cat("Tree-structured varying coefficient model:\n")
cat("\n")
cat("Call:\n",paste(deparse(x$call)),"\n")
cat("\n")
cat("----------\n")
cat("\n")
cat("Overview:\n")
cat("\n")
print(x$stats)
cat("\n")
cat("Total number of Splits:", x$nosplits)
}
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