#' Sample from conditional Weibull
#'
#' The conditional weibull distribution is a truncated version - the condition is that the observation has already survived
#'
#' @param n Number of samples to draw
#' @param lambda Weibull parameter
#' @param kappa Weibull parameter
#' @param T0 Left boundary
#'
#' @author \href{https://stats.stackexchange.com/users/283201/jcken}{jcken},
#' Neal Fultz
#' @references \url{hhttps://stats.stackexchange.com/questions/470058/how-to-draw-from-conditional-weibull-distribution/470064#470064}
#'
#' @seealso \code{\link[stats]{rweibull}}
#' @importFrom stats rexp
#'
#' @examples
#'
#' rcweibull(n=20, lambda=1:2, kappa=1:5, T0=1:20)
#'
#' @export
rcweibull <- function(n, lambda, kappa, T0){
p <- rexp(n)
( T0^kappa + lambda^kappa * p)^(1/kappa)
}
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