largeRCRF/man/CR_Response.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/CR_Response.R
\name{CR_Response}
\alias{CR_Response}
\title{Competing Risk Response}
\usage{
CR_Response(delta, u, C = NULL)
}
\arguments{
\item{delta}{A vector of integers detailing the event that occurred. A value
of 0 denotes that censoring occurred first and that time was recorded.}

\item{u}{A vector of numerics detailing the recorded event times (possibly
censored).}

\item{C}{If the censoring times are known for all observations, they can be
included which allows for \code{\link{GrayLogRankSplitFinder}} to be used.
Default is \code{NULL}.}
}
\description{
Takes vectors of event time and event type and turns it into the internal
objects used throughout the package. The result of this function shouldn't be
used directly, but should instead by provided as the \code{y} parameter in
\code{\link{train}}.
}
\details{
To be clear, if T1,...TJ are the J different competing risks, and C
  is the censoring time, then \code{u[i] = min(T1[i], ...TJ[i], C[i])}; and
  \code{delta[i]} denotes which time was the minimum, with a value of 0 if
  C[i] was the smallest.
}
\examples{
T1 <- rexp(10)
T2 <- rweibull(10, 2, 2)
C <- rexp(10)

u <- pmin(T1, T2, C)
delta <- ifelse(u == T1, 1, ifelse(u == T2, 2, 0))

responses <- CR_Response(delta, u)
# Then use responses in train or naiveConcordance
}