simul_data: Simulate Covariates and Progression Free Survival Data

In bonsaiforest: Shrinkage Based Forest Plots

Simulate Covariates and Progression Free Survival Data

Description

This combines the covariates simulation via simul_covariates() with 10 categorical covariates, and the PFS simulation via simul_pfs().

Usage

simul_data(n, add_interaction = FALSE, coefs, ...)

Arguments

n	(count) number of patients.
add_interaction	(flag) whether to add interaction terms between covariates 1 and 2.
coefs	(numeric) named vector of coefficients to set.
...	additional parameters apart from the linear predictor values needed for simul_pfs().

Details

Regression coefficients are for an AFT with over-parametrized dummy coding for arm-subgroup interactions.

Value

A combined data.frame with the id column, the design matrix and the PFS outcomes.

Examples

set.seed(321)
simul_data(
  n = 100,
  coefs = c(arm1 = 1),
  sigma_aft = 1,
  recr_duration = 0.2,
  rate_cens = 2,
  n_events = 20
)

bonsaiforest documentation built on Sept. 30, 2024, 9:46 a.m.