raftreg {rsurv}R Documentation

Random generation from accelerated failure time models

Description

Function to generate a random sample of survival data from accelerated failure time models.

Usage

raftreg(u, formula, baseline, beta, dist = NULL, data, ...)

Arguments

u

a numeric vector of quantiles.

formula

formula specifying the linear predictors.

baseline

the name of the baseline survival distribution.

beta

vector of regression coefficients.

dist

an alternative way to specify the baseline survival distribution

data

data frame containing the covariates used to generate the survival times.

...

further arguments passed to other methods.

Value

a numeric vector containing the generated random sample.

Examples


library(rsurv)
n <-  1000
simdata <- data.frame(
  age = rnorm(n),
  sex = sample(c("f", "m"), size = n, replace = TRUE)
) %>%
  mutate(
    t = raftreg(runif(n), ~ age+sex, beta = c(1, 2),
                dist = "weibull", shape = 1.5, scale = 1),
    c = runif(n, 0, 10)
  ) %>%
  rowwise() %>%
  mutate(
    time = min(t, c),
    status = as.numeric(time == t)
  )
glimpse(simdata)



[Package rsurv version 0.0.1 Index]