#' @export
print.oglmx <- function(x, digits = max(3L, getOption("digits") - 3L),
...){
cat("\nCall: ", paste(deparse(x$call), sep = "\n", collapse = "\n"),
"\n\n", sep = "")
std <- diag(x$vcov)^0.5
if (length(coef(x))){
cat("Coefficients:\n")
if (is.character(co <- x$contrasts))
cat(" [contrasts: ", apply(cbind(names(co), co),
1L, paste, collapse = "="), "]")
formated_coef <- paste0(
format(x$coefficients, digits = digits),
signif_stars_vectorized(2*pnorm( -abs(x$coefficients/std)),
type = "none"),
sprintf(" (%s)",format(std, digits = digits))
)
names(formated_coef) <- names(x$coefficients)
print.default(
formated_coef,
print.gap = 2,
quote = FALSE
)
} else{
cat("No coefficients\n\n")
}
cat("\n")
if (nzchar(mess <- naprint(x$na.action)))
cat(" (", mess, ")\n", sep = "")
cat("Log likelihood:\t",
format(signif(x$loglikelihood, digits)),
"\nLog likelihood by observation:\t ",
format(signif(x$loglikelihood/attr(x$loglikelihood, "No.Obs"),
digits)),
"\nAIC:\t", format(signif(AIC(x), digits)))
cat("\n")
invisible(x)
}
#' @export
print.oglmx.selection <- function(x, digits = max(3L, getOption("digits") - 3L),
...){
cat("\nCall: ", paste(deparse(x$call), sep = "\n", collapse = "\n"),
"\n\n", sep = "")
std <- diag(x$vcov)^0.5
std <- std[names(std) %in% names(x$estimate)]
if (length(coef(x))){
cat("Coefficients:\n")
formated_coef <- paste0(
format(x$estimate, digits = digits),
signif_stars_vectorized(2*pnorm( -abs(x$estimate/std)),
type = "none"),
sprintf(" (%s)",format(std, digits = digits))
)
names(formated_coef) <- names(x$estimate)
print.default(
formated_coef,
print.gap = 2,
quote = FALSE
)
} else{
cat("No coefficients\n\n")
}
cat("\n")
if (nzchar(mess <- naprint(x$na.action)))
cat(" (", mess, ")\n", sep = "")
cat("Log likelihood:\t",
format(signif(x$loglikelihood, digits)),
"\nLog likelihood by observation:\t ",
format(signif(x$loglikelihood/attr(x$loglikelihood, "No.Obs"),
digits)),
"\nAIC:\t", format(signif(AIC(x), digits)))
cat("\n")
invisible(x)
}
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