Random generation from accelerated hazard models

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

Usage

rahreg(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

# \donttest{
library(rsurv)
n <-  1000
simdata <- data.frame(
  age = rnorm(n),
  sex = sample(c("f", "m"), size = n, replace = TRUE)
) %>%
  mutate(
    t = rahreg(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)
#> Rows: 1,000
#> Columns: 6
#> Rowwise: 
#> $ age    <dbl> 0.11299534, -0.36876161, -1.81381842, -0.72799437, -0.32334346,…
#> $ sex    <chr> "f", "f", "m", "m", "f", "f", "m", "m", "m", "m", "m", "m", "f"…
#> $ t      <dbl> 0.55259448, 0.73865300, 0.42237942, 0.72524703, 0.48294275, 1.5…
#> $ c      <dbl> 7.897474, 1.198410, 4.235852, 8.294588, 4.520126, 4.808883, 4.0…
#> $ time   <dbl> 0.55259448, 0.73865300, 0.42237942, 0.72524703, 0.48294275, 1.5…
#> $ status <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
# }