sim_outcome_survival: Simulate a survival outcome
In NErler/simvalidator: Validation of Statistical Models via Simulation

sim_outcome_survival

R Documentation

Simulate a survival outcome

Description

Simulate a survival outcome

Usage

sim_outcome_survival(
  data,
  formula,
  reg_coefs,
  basehaz_type = "spline",
  beta_Bh0 = NULL,
  shape_wb = NULL,
  knot_range = NULL,
  mean_cens = 30,
  .tries = 5L,
  .up = 5000L,
  up_step = 5000L,
  seed = NULL,
  add_info = FALSE,
  ...
)

Arguments

`data`	a `data.frame` containing covariate data
`formula`	the model formula
`reg_coefs`	a vector of regression coefficients. If named, the names will be matched with the names of the design matrix that is created from `formula` and `data`.
`basehaz_type`	character string specifying the type of baseline hazard: `weibull` or `spline`
`beta_Bh0`	vector of coefficients for a spline specification of the baseline hazard
`shape_wb`	parameter of the Wishart distribution
`knot_range`	range of the knots for a spline baseline hazard
`mean_cens`	mean censoring time
`.tries`	integer; how often is the upper limit increased when looking for the root
`.up`	upper limit for the integration over the hazard
`up_step`	step with which `.up` is increased in case of failure
`seed`	the seed value
`add_info`	logical: should the simulated `true_times`, `cens_times` and `lin_pred` be added as columns to the data
`...`	arguments passed to other functions