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https://github.com/cran/bayestestR
08 March 2024, 11:09:09 UTC
Revision d2eac42f58e4e0f0d07298e8c2e719ef6a30672d authored by Dominique Makowski on 19 June 2020, 08:00:07 UTC, committed by cran-robot on 19 June 2020, 08:00:07 UTC 
version 0.7.0
1 parent 01482dc
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Tip revision: d2eac42f58e4e0f0d07298e8c2e719ef6a30672d authored by Dominique Makowski on 19 June 2020, 08:00:07 UTC
version 0.7.0
Tip revision: d2eac42
print.bayesfactor_inclusion.R 
#' @export
print.bayesfactor_inclusion <- function(x, digits = 3, log = FALSE, ...) {
  BFE <- x
  priorOdds <- attr(BFE, "priorOdds")

  if (log) {
    BFE$BF <- log(BFE$BF)
  }

  BFE$BF <- insight::format_value(BFE$BF, digits = digits, missing = "NA")

  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)
}
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