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#' @name print.summary.spsur
#' @rdname print.summary.spsur
#'
#' @title Print method for objects of class summary.spsur.
#'
#' @param x object of class \emph{summary.spsur}.
#' @param digits number of digits to show in printed tables.
#' Default: max(3L, getOption("digits") - 3L).
#' @param ... further arguments passed to or from other methods.
#'
#' @author
#' \tabular{ll}{
#' Fernando Lopez \tab \email{fernando.lopez@@upct.es} \cr
#' Roman Minguez \tab \email{roman.minguez@@uclm.es} \cr
#' Jesus Mur \tab \email{jmur@@unizar.es} \cr
#' }
#'
#' @seealso
#' \code{\link{summary.spsur}}.
#'
#'
#' @examples
#' # See examples for \code{\link{spsurml}} or
#' # \code{\link{spsur3sls}} functions.
#' @export
print.summary.spsur <- function(x, digits = max(3L, getOption("digits") - 3L),
...) {
G <- x$G
cat("Call:\n")
print(x$call)
cat("\n","\n")
cat("Spatial SUR model type: ",x$type,"\n\n")
for (i in 1:G){
cat("Equation ",i,"\n")
printCoefmat(x$coef_table[[i]], P.values = TRUE, has.Pvalue = TRUE)
cat("R-squared: ", formatC(x$R2[i+1], digits = 4), " ", sep = "")
cat("\n"," ")
}
cat("\n")
if (x$Tm>1 | x$G>1){
cat("Variance-Covariance Matrix of inter-equation residuals:")
prmatrix(x$Sigma,digits=4,
rowlab=rep("", nrow(x$Sigma)), collab = rep("", ncol(x$Sigma)))
} else {
cat("Residual standard error:",formatC(sqrt(x$Sigma), digits = 4, width = 6))
}
if (x$Tm>1 | x$G>1){
cat("Correlation Matrix of inter-equation residuals:")
prmatrix(x$Sigma_corr,digits=3,
rowlab=rep("",nrow(x$Sigma)), collab = rep("",ncol(x$Sigma)))
}
if (x$Tm>1 | x$G>1){
cat("\n R-sq. pooled: ", formatC(x$R2[1], digits = 4)," ", sep = "")
if(!is.null(x$llsur)){
cat("\n Log-Likelihood: ",formatC(x$llsur, digits = 6, width = 6))
}
}
# Se ajusta a una Chi con G*(G-1)/2 gl
if (x$Tm>1 | x$G>1){
# Only report the BP test for multiequations
if(!is.null(x$BP)){
cat("\n Breusch-Pagan: ",formatC(x$BP, digits = 4),
" p-value: (",formatC(pchisq(x$BP, df = G*(G - 1)/2, lower.tail = FALSE),
digits = 3, width = 4),") ", sep = "")
}
}
if(!is.null(x$LMM)){
# If Tm=G=1 the LMM test have df=1
if (x$Tm==1 & x$G==1){
df= 1}
else {df= G*(G - 1)/2
}
cat("\n LMM: ",formatC(x$LMM, digits = 5),
" p-value: (",formatC(pchisq(x$LMM, df = df,
lower.tail = FALSE),
digits = 3, width = 4),")\n", sep = "")
}
invisible(x)
}
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