#'@title Print an "info.glm" Object
#'
#'@description \code{print} method for class \code{"info.glm"}.
#'
#' @param x an object of class \code{"info.glm"} produced by the
#' \code{"info.glm"} function.
#' @param digits number of significant digits to print.
#' @param ... parameters passed to print.
#' @return NULL
#'
#' @importFrom crayon bold
#'
#' @export
#'
#' @examples
#' fit <- glm(caesarian ~ age + bp + delivery.time, family = binomial, data = caesarian)
#' sfit <- info(fit)
#' print(sfit, digits=5)
print.info.glm <- function(x, digits=4, ...){
heading("LOGISTIC REGRESSION SUMMARY")
cat("Formula: ", x$overall["formula"], "\n",
"Data : ", x$overall["data"], "\n",
"N : ", x$overall["N"], "\n\n", sep="")
cat("Predicted category: ", x$overall["target"], "\n\n", sep="")
heading("Omnibus Test")
otest <- x$omnibus.test
signif <- ifelse(otest$`Pr(>Chi)`[2] < .001, "***",
ifelse(otest$`Pr(>Chi)`[2] < 0.01, "**",
ifelse(otest$`Pr(>Chi)`[2] < 0.05, "*", " ")))
cat("Chi-square(", otest$Df[2], ") = ",
round(otest$`Deviance`[2], digits),
", p = ",
format.pval(otest$`Pr(>Chi)`[2], digits),
" ", signif, sep="")
cat("\n\n")
heading("Fit Measures")
gof <- unlist(x$fit.indices[[1]])
cat("Stukel's GOF Test: Chi-square(", gof["Df2"], ") = ",
round(gof["Deviance2"], digits), ", p < ",
round(gof["Pr(>Chi)2"], digits), "\n", sep="")
cat("Tjur's Psuedo-R.squared: " , round(x$fit.indices[[2]], digits), "\n",
sep="")
cat("AIC:", round(x$fit.indices[[3]], digits), "\n\n")
heading("Anova Table (type III tests)")
x$anova.table$sig <- sigstars(x$anova.table[[3]])
names(x$anova.table) <- c("LR Chisq", "DF", "Pr(>Chisq)", "")
print(x$anova.table, digits=digits)
cat("\n", sep="")
heading("Logistic Regression Coefficients")
x$coefficient.table$sig <- sigstars(x$coefficient.table[[4]])
names(x$coefficient.table) <- c("B", "SE", "z", "Pr(>|z|)", " ")
print(x$coefficient.table, digits=digits, ...)
cat("\n")
heading("Odds Ratios (with 95% Confidence Intervals)")
print(x$odds.ratios, digits=digits, ...)
}
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