run_sim_exp_nocovar {BPrinStratTTE}

Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent event

Description

Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent event

Usage

run_sim_exp_nocovar(n_iter, d_params, m_params, seed)

Arguments

n_iter

Positive integer value, number of trials to be simulated.

d_params

List of data parameters as used in sim_dat_one_trial_exp_nocovar.

m_params

List of model parameters as used in fit_single_exp_nocovar.

seed

Numeric value, seed for reproducibility.

Value

A list of length 3, containing objects call ocs, d_params, m_params, where ocs is a tibble containing averaged parameter estimates and operating characteristics, and d_params and m_params are the objects supplied to the function.

See Also

run_sim_exp_covar()

Examples

d_params_nocovar <- list(
  n = 500L,
  nt = 250L,
  prob_ice = 0.5,
  fu_max = 336L,
  prop_cens = 0.15,
  T0T_rate = 0.2,
  T0N_rate = 0.2,
  T1T_rate = 0.15,
  T1N_rate = 0.1
)
m_params_nocovar <- list(
  tg = 48L,
  prior_piT = c(0.5, 0.5),
  prior_0N = c(1.5, 5),
  prior_1N = c(1.5, 5),
  prior_0T = c(1.5, 5),
  prior_1T = c(1.5, 5),
  t_grid =  seq(7, 7 * 48, 7) / 30,
  chains = 2L,
  n_iter = 3000L,
  warmup = 1500L,
  cores = 2L,
  open_progress = FALSE,
  show_messages = TRUE  
)
 
dat_ocs <- run_sim_exp_nocovar(
  n_iter = 3, 
  d_params = d_params_nocovar, 
  m_params = m_params_nocovar, 
  seed = 12
  )
print(dat_ocs)