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#'Function used to summarise the fitted model to an rpsftm object
#'
#'@export
#'@title summary Method
#'@name summary.rpsftm
#' @param object an object returned from the \code{rpsftm()} function.
#' @param ... further arguments passed to or from other methods.
#' @return a summary of the fitted regression model.
#' @author Simon Bond
#'
summary.rpsftm <- function(object,...) {
y <- object
class(y) <- class(object)[2]
obj.summary <- summary(y,...=...)
new_class <- sub("summary","rpsftm.summary", class(obj.summary))
class(obj.summary) <- c(new_class, class(obj.summary))
print(object$rand)
print(obj.summary)
cat("\npsi:", object$psi)
cat("\nexp(psi):", exp(object$psi))
cat("\nConfidence Interval, psi", object$CI)
cat("\nConfidence Interval, exp(psi) ", exp(object$CI),"\n")
# Have not added stuff to the obj.summary- the return object about psi,
# and CI it does vary between the different tests so would be hard to
# generalise.
invisible(obj.summary)
}
#'modified version of print.summary.coxph
#'
#'this drops the "arm" term as this is not a real parameter
#'
#'
#'@name print.rpsftm.summary.coxph
#' @param x the result of a call to \code{summary.coxph}
#' @param digits significant digits to print
#' @param signif.stars show star to highlight small p-values
#' @param ... further arguments for future methods
#' @keywords internal
#'
print.rpsftm.summary.coxph <- function (x,
digits = max(getOption("digits") - 3, 3),
signif.stars = getOption("show.signif.stars"),
...) {
if (!is.null(x$fail)) {
cat(" Coxreg failed.", x$fail, "\n")
return()
}
savedig <- options(digits = digits)
on.exit(options(savedig))
omit <- x$na.action
cat(" n=", x$n)
if (!is.null(x$nevent)) cat(", number of events=", x$nevent)
cat("\n")
if (length(omit))
cat(" (", stats::naprint(omit), ")\n", sep = "")
arm_index <- which(rownames(x$coefficients)==".arm")
if (!is.null(x$coefficients) & nrow(x$coefficients)>1) {
cat("\n")
stats::printCoefmat(x$coefficients[-arm_index, , drop=FALSE],
digits = digits, signif.stars = signif.stars, ...)
}
if (!is.null(x$conf.int)& nrow(x$conf.int)>1) {
cat("\n")
print(x$conf.int[-arm_index, , drop=FALSE])
}
cat("\n")
if (!is.null(x$concordance)) {
cat("Concordance=", format(round(x$concordance[1], 3)),
" (se =", format(round(x$concordance[2], 3)), ")\n")
}
invisible()
}
#'modified version of print.summary.survreg
#'
#'this drops the "arm" term as this is not a real parameter
#'
#'
#'@name print.rpsftm.summary.survreg
#' @param x the result of a call to \code{summary.survreg}
#' @param digits significant digits to print
#' @param ... further arguments for future methods
#' @keywords internal
#'
print.rpsftm.summary.survreg <- function (x, digits = max(options()$digits - 4, 3), ...)
{
correl <- x$correlation
if (is.null(digits))
digits <- options()$digits
cat("\nCall:\n")
dput(x$call)
arm_index <- which(rownames(x$table)==".arm")
print(x$table[-arm_index,, drop=FALSE], digits = digits)
if (nrow(x$var) == length(x$coefficients))
cat("\nScale fixed at", format(x$scale, digits = digits),
"\n")
else if (length(x$scale) == 1)
cat("\nScale=", format(x$scale, digits = digits), "\n")
else {
cat("\nScale:\n")
print(x$scale, digits = digits, ...)
}
cat("\n", x$parms, "\n", sep = "")
df <- sum(x$df) - x$idf
cat("Loglik(model)=", format(round(x$loglik[2], 1)), " Loglik(intercept only)=",
format(round(x$loglik[1], 1)))
cat("\nNumber of Newton-Raphson Iterations:", format(trunc(x$iter)),
"\n")
omit <- x$na.action
if (length(omit))
cat("n=", x$n, " (", stats::naprint(omit), ")\n", sep = "")
else cat("n=", x$n, "\n")
if (!is.null(correl)) {
correl <- correl[-arm_index,-arm_index, drop=FALSE]
p <- dim(correl)[2]
if (p > 1) {
cat("\nCorrelation of Coefficients:\n")
ll <- lower.tri(correl)
correl[ll] <- format(round(correl[ll], digits = digits))
correl[!ll] <- ""
print(correl[-1, -p, drop = FALSE], quote = FALSE)
}
}
cat("\n")
invisible(NULL)
}
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