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#' @include set_coef.R
#' @rdname set_coef
#' @export
set_coef.survreg <- function(model, coefs, ...) {
#Reverse engineering insight::get_get_parameters.survreg(),
#which uses summary.survreg()
nvar0 <- length(model$coefficients)
nvar <- nrow(model$var)
if (nvar > nvar0) {
model[["coefficients"]][] <- coefs[-nvar0]
model[["scale"]][] <- exp(coefs[nvar0])
}
else {
model$coefficients[] <- coefs
}
model
}
#' @rdname get_predict
#' @export
get_predict.coxph <- function(model,
newdata = insight::get_data(model),
type = "lp",
...) {
out <- stats::predict(model,
newdata = newdata,
type = type,
...)
out <- data.frame(rowid = seq_len(nrow(newdata)),
estimate = out)
return(out)
}
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