# aalenfrailty: Aalen frailty model In mets: Analysis of Multivariate Event Times

## Description

Additive hazards model with (gamma) frailty

## Usage

 `1` ```aalenfrailty(time, status, X, id, theta, B = NULL, ...) ```

## Arguments

 `time` Time variable `status` Status variable (0,1) `X` Covariate design matrix `id` cluster variable `theta` list of thetas (returns score evaluated here), or starting point for optimization (defaults to magic number 0.1) `B` (optional) Cumulative coefficients (update theta by fixing B) `...` Additional arguments to lower level functions

## Details

Aalen frailty model

## Value

Parameter estimates

Klaus K. Holst

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21``` ```dd <- simAalenFrailty(5000) f <- ~1##+x X <- model.matrix(f,dd) ## design matrix for non-parametric terms system.time(out<-aalen(update(f,Surv(time,status)~.),dd,n.sim=0,robust=0)) dix <- which(dd\$status==1) t1 <- system.time(bb <- .Call("Bhat",as.integer(dd\$status), X,0.2,as.integer(dd\$id),NULL,NULL,-1, package="mets")) spec <- 1 ##plot(out,spec=spec) ## plot(dd\$time[dix],bb\$B2[,spec],col="red",type="s", ## ylim=c(0,max(dd\$time)*c(beta0,beta)[spec])) ## abline(a=0,b=c(beta0,beta)[spec]) ##' ## Not run: thetas <- seq(0.1,2,length.out=10) Us <- unlist(aalenfrailty(dd\$time,dd\$status,X,dd\$id,as.list(thetas))) plot(thetas,Us,type="l",ylim=c(-.5,1)); abline(h=0,lty=2); abline(v=theta,lty=2) op <- aalenfrailty(dd\$time,dd\$status,X,dd\$id) op ## End(Not run) ```

mets documentation built on May 31, 2017, 1:52 a.m.