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# $Id: summary.survreg.S 11166 2008-11-24 22:10:34Z therneau $
summary.survreg<- function(object, correlation = FALSE,...)
{
if (!is.null(object$fail)) {
warning(" Survreg failed.", object$fail, " No summary provided\n")
return(invisible(object))
}
nvar0 <- length(object$coefficients)
nvar <- nrow(object$var)
if (nvar > nvar0) {
coef <- c(object$coefficients, log(object$scale))
if ( (nvar-nvar0)==1) cname <- c(names(object$coefficients), "Log(scale)")
else cname <- c(names(object$coefficients), names(object$scale))
}
else {
coef <- object$coefficients
cname <- names(object$coefficients)
}
n <- length(object$linear.predictors)
p <- sum(!is.na(coef))
if(!p) {
warning("This model has zero rank --- no summary is provided")
return(invisible(object))
}
if (is.null(object$naive.var)){
table <- matrix(rep(coef, 4), ncol = 4)
dimnames(table) <- list(cname, c("Value", "Std. Error", "z", "p"))
stds <- sqrt(diag(object$var))
table[, 2] <- stds
table[, 3] <- table[, 1]/stds
table[, 4] <- 2*pnorm(-abs(table[,3]))
} else {
table <- matrix(rep(coef, 5), ncol = 5)
dimnames(table) <- list(cname, c("Value", "Std. Err","(Naive SE)", "z", "p"))
stds <- sqrt(diag(object$var))
table[, 2] <- stds
table[, 3] <- sqrt(diag(object$naive.var))
table[, 4] <- table[, 1]/stds
table[, 5] <- 2*pnorm(-abs(table[,4]))
}
if(correlation) {
nas <- is.na(coef)
stds <- stds[!nas]
correl <- diag(1/stds) %*% object$var[!nas, !nas] %*% diag(1/stds)
dimnames(correl) <- list(cname, cname)
}
else correl <- NULL
dist <- object$dist
if (is.character(dist)) sd <- survreg.distributions[[dist]]
else sd <- dist
if (length(object$parms))
pprint<- paste(sd$name, 'distribution: parmameters=', object$parms)
else pprint<- paste(sd$name, 'distribution')
x <- object[match(c('call', 'df', 'loglik', 'iter', 'na.action', 'idf',
'scale', 'coefficients', 'var'),
names(object), nomatch=0)]
x <- c(x, list(table=table, correlation=correl, parms=pprint,
n=n, chi=2*diff(object$loglik)),
robust=!is.null(object$naive.var))
class(x) <- 'summary.survreg'
x
}
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