swh:1:snp:2c68a6c5a8af2f06ac2c0225927f25b54fd1f9d0
Tip revision: d8462ad2168ad7ee61c0d7e679174e775f01a9be authored by Dominique Makowski on 18 January 2020, 07:10:02 UTC
version 0.5.0
version 0.5.0
Tip revision: d8462ad
print.bayesfactor_inclusion.R
#' @export
print.bayesfactor_inclusion <- function(x, digits = 2, log = FALSE, ...) {
BFE <- x
priorOdds <- attr(BFE, "priorOdds")
if (log) {
BFE$BF <- log(BFE$BF)
}
BFE$BF <- .format_big_small(BFE$BF, digits = digits)
colnames(BFE) <- c("Pr(prior)", "Pr(posterior)", "Inclusion BF")
insight::print_color("# Inclusion Bayes Factors (Model Averaged)\n\n", "blue")
print.data.frame(BFE, digits = digits)
cat("\n")
cat("* Compared among: ")
if (attr(BFE, "matched")) {
insight::print_color("matched models only\n", "cyan")
} else {
insight::print_color("all models\n", "cyan")
}
cat("* Priors odds: ")
if (!is.null(priorOdds)) {
insight::print_color("custom\n", "cyan")
} else {
insight::print_color("uniform-equal\n", "cyan")
}
if (log) insight::print_color("\nBayes Factors are on the log-scale.\n", "red")
invisible(x)
}