% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-datasets.R
\name{sim_survival_tail}
\alias{sim_survival_tail}
\title{Simulate censored survival-style tail data}
\usage{
sim_survival_tail(n = 250, seed = NULL)
}
\arguments{
\item{n}{Integer sample size.}

\item{seed}{Optional random seed.}
}
\value{
Data frame containing observed time \code{time}, event indicator \code{status}, and covariates.
}
\description{
Generate event times, censoring times, an event indicator, and covariates for examples where
right tail behavior and positive support matter.
}
\details{
Event times are sampled from an exponential model with covariate-dependent mean, then censored
by an independent uniform censoring time. The observed time is
\deqn{
\tilde{T} = \min(T, C), \qquad \Delta = I(T \le C).
}

This helper is mainly for experimentation and stress-testing positive-support kernels; it does
not implement a dedicated survival model from the package API.
}
\seealso{
\code{\link[=sim_bulk_tail]{sim_bulk_tail()}}, \code{\link[=build_nimble_bundle]{build_nimble_bundle()}}, \code{\link[=dpmgpd]{dpmgpd()}}.

Other simulation helpers: 
\code{\link{sim_bulk_tail}()},
\code{\link{sim_causal_qte}()}
}
\concept{simulation helpers}
