Nothing
print.summary.rpql <- function(x, ...) {
message("Call:")
print(x$call)
message()
cat("Family:", x$family$family[1], "\nPenalty type:", x$pen.type, "\n Tuning parameters:", as.numeric(x$lambda), "\n")
cat("Value of PQL at convergence:", x$logLik, "\n\n")
#cat("Estimated model\n\t Non-zero fixed effects --", x$nonzero.fixef, "\n\t Non-zero random effects --", paste(names(x$id),x$nonzero.ranef, sep = ": ", collapse = "; "), "\n\n")
message("Estimates of fixed effects:")
print(x$fixef);
message()
message("Estimates of variances for random effects (diagonal elements of the covariance matrices):")
for(k in 1:length(x$ranef)) {
message(names(x$id)[k], ":")
print(diag(x$ran.cov[[k]]))
message()
}
if(x$family$family[1] %in% c("gaussian","lognormal"))
message("Variance par ameter: ", x$phi, "\n")
if(x$family$family[1] %in% c("negative.binomial"))
message("overdispersion parameter (V = mu + phi*mu^2): ", x$phi, "\n")
if((x$family$family[1] == "Gamma"))
message("Shape parameter (V = mu^2/shape): ", x$shape, "\n")
if((x$family$family[1] == "ZIP"))
message("Probability of structural zero: ", x$zeroprob, "\n")
}
summary.rpql <- function(object, ...) {
gather_output <- list(call = object$call, fixef = round(object$fixef,3), ranef = lapply(object$ranef,round,3),
ran.cov = lapply(object$ran.cov,round,3), logLik = round(object$logLik,3), family = object$family)
if(object$family$family[1] %in% c("gaussian","lognormal","negative.binomial"))
gather_output$phi <- round(object$phi,3)
if((object$family$family[1] == "Gamma"))
gather_output$shape <- round(object$shape,3)
if((object$family$family[1] == "ZIP"))
gather_output$zeroprob <- round(object$zeroprob,3)
gather_output$pen.type <- object$pen.type
gather_output$lambda <- object$lambda
gather_output$ics <- object$ics
gather_output$id <- object$id
gather_output$nonzero.fixef <- object$nonzero.fixef
gather_output$nonzero.ranef <- object$nonzero.ranef
gather_output$ics <- object$ics
class(gather_output) <- "summary.rpql"
gather_output
}
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