R/simdatmixcure_object.R

In oswaldogressani/mixcurelps: Approximate Bayesian Inference in Mixture Cure Models

#' Object resulting from simulating survival data with a cure fraction.
#'
#' A list of objects resulting from the \link{simdatmixcure} routine.
#'
#' @return Values:
#'
#' \item{n}{The sample size.}
#' \item{X}{The generated matrix of covariates in the incidence part (including
#'  an intercept). As the model includes an intercept, the first column
#'  corresponds to a column of ones.}
#' \item{Z}{The generated matrix of covariates in the latency part.}
#' \item{betas}{The vector of regression coefficients in the incidence part.}
#' \item{gammas}{The vector of regression coefficents in the latency part.}
#' \item{tobs}{The vector of observed survival times.}
#' \item{delta}{The vector of event indicators.}
#' \item{h0}{A function corresponding to the Weibull baseline hazard used in
#'  the latency part.}
#' \item{S0}{A function corresponding to the Weibull baseline survival used in
#'  the latency part.}
#' \item{tup}{The largest observed follow-up time.}
#' \item{fitKM}{The Kaplan-Meier fit to the generated survival data.}
#' \item{plateau}{The x-axis value at which the plateau of the Kaplan-Meier
#' curve starts.}
#' \item{info}{A character string giving information on censoring and
#' cure rates.}
#' \item{setting}{The chosen setting, either 1 or 2.}
#'
#' @seealso \link{simdatmixcure}
#'
#' @author Oswaldo Gressani \email{oswado_gressani@hotmail.fr} .
#'
#' @name simdatmixcure.object
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