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#' @name burgle_
#'
#' @export
burgle.cph <- function(object, ...){
bh <- survival::basehaz(object, centered = FALSE)
ft <- as.character(attr(object$terms, "variables"))[-c(1:2)]
if (length(ft) < 1) {
formula <- "1"
}
else {
formula <- ft
}
tlo <- attr(object$terms, "order")
if (any(tlo > 1)) {
tl <- attr(object$terms, "term.labels")
tl0 <- tl[which(tlo <= 1)]
tli <- tl[which(tlo > 1)]
tli2 <- strsplit(tli, "(?<!:)(:)(?!:)", perl = T)
formula <- c(formula, sapply(tli2, function(x) make_ints(x,
o_form = formula, tl0 = tl0)))
}
if (!is.null(object$xlevels) && (!is.null(object$strata) |
any(grepl("strata", names(object$xlevels))))) {
bh0 <- bh[, c("hazard", "strata")]
bh <- bh[!duplicated(bh0), ]
ft <- as.character(attr(object$terms, "predvars"))[-c(1:2)]
ft2 <- ft[!grepl("strata", ft)]
if (length(ft2) < 1) {
formula <- "1"
}
else {
formula <- ft2
}
tlo <- attr(object$terms, "order")
if (any(tlo > 1)) {
tl <- attr(object$terms, "term.labels")
tl0 <- tl[which(tlo <= 1)]
tli <- tl[which(tlo > 1)]
tli2 <- strsplit(tli, "(?<!:)(:)(?!:)", perl = T)
formula <- c(formula, sapply(tli2, function(x) make_ints(x,
o_form = formula, tl0 = tl0)))
}
}
else {
bh <- bh[!duplicated(bh$hazard), ]
}
coef <- stats::coef(object)
if (length(coef) == 0L) {
cov <- matrix(0)
}
else {
cov <- stats::vcov(object)
}
rss <- sum(object$residuals^2)/(sum(object$n) - length(coef))
xlevels <- object$xlevels
l <- list(coef = coef, cov = cov, rss = rss, xlevels = xlevels,
formula = formula, basehaz = bh)
class(l) <- "burgle_cph"
l
}
#' @name predict_burgle
#'
#' @export
predict.burgle_cph <- function(object, ...){
preds <- predict.burgle_coxph(object, ...)
preds
}
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