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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Rcode.r
\name{residuals.rsadd}
\alias{residuals.rsadd}
\title{Calculate Residuals for a "rsadd" Fit}
\usage{
\method{residuals}{rsadd}(object, type = "schoenfeld", ...)
}
\arguments{
\item{object}{an object inheriting from class \code{rsadd}, representing a
fitted additive relative survival model. Typically this is the output from
the \code{rsadd} function.}
\item{type}{character string indicating the type of residual desired.
Currently only Schoenfeld residuals are implemented.}
\item{...}{other arguments.}
}
\value{
A list of the following values is returned: \item{res}{a matrix
containing the residuals for each variable.} \item{varr}{the variance for
each residual} \item{varr1}{the sum of \code{varr}.} \item{kvarr}{the
derivative of each residual, to be used in \code{rs.zph} function.}
\item{kvarr1}{the sum of \code{kvarr}.}
}
\description{
Calculates partial residuals for an additive relative survival model.
}
\examples{
data(slopop)
data(rdata)
fit <- rsadd(Surv(time,cens)~sex,rmap=list(age=age*365.241),
ratetable=slopop,data=rdata,int=5)
sresid <- residuals.rsadd(fit)
}
\references{
Package. Pohar M., Stare J. (2006) "Relative survival analysis
in R." Computer Methods and Programs in Biomedicine, \bold{81}: 272--278
Relative survival: Pohar, M., Stare, J. (2007) "Making relative survival
analysis relatively easy." Computers in biology and medicine, \bold{37}:
1741--1749.
Goodness of fit: Stare J.,Pohar Perme M., Henderson R. (2005) "Goodness of
fit of relative survival models." Statistics in Medicine, \bold{24}:
3911--3925.
}
\seealso{
\code{\link{rsadd}}.
}
\keyword{survival}
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