BPrinStratTTE (version 0.0.7)

true_vals_exp_nocovar: Adding true values to estimates for models with an exponential endpoint and no consideration of predictors of the intercurrent event

Description

Adding true values to estimates for models with an exponential endpoint and no consideration of predictors of the intercurrent event

Usage

true_vals_exp_nocovar(x, d_params, m_params)

Value

A summary table with parameter estimates, true values and differences.

Arguments

x

Model object as returned by fit_single_exp_nocovar().

d_params

List of data parameters as used in fit_single_exp_nocovar().

m_params

List of model parameters as used in fit_single_exp_nocovar().

See Also

true_vals_exp_covar()

Examples

d_params_nocovar <- list(
  n = 500L,
  nt = 250L,
  prob_ice = 0.5,
  fu_max = 336L,
  T0T_rate = 0.2,
  T0N_rate = 0.2,
  T1T_rate = 0.15,
  T1N_rate = 0.1
)
dat_single_trial <- sim_dat_one_trial_exp_nocovar(
  n = d_params_nocovar[["n"]], 
  nt = d_params_nocovar[["nt"]],
  prob_ice = d_params_nocovar[["prob_ice"]],
  fu_max = d_params_nocovar[["fu_max"]],  
  T0T_rate = d_params_nocovar[["T0T_rate"]],
  T0N_rate = d_params_nocovar[["T0N_rate"]],
  T1T_rate = d_params_nocovar[["T1T_rate"]],
  T1N_rate = d_params_nocovar[["T1N_rate"]] 
)
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  
)
# \donttest{
fit_single <- fit_single_exp_nocovar(
  data = dat_single_trial,
  params = m_params_nocovar,
  summarize_fit = TRUE 
)
print(fit_single) 
tab_obs_truth <- true_vals_exp_nocovar(
  x = fit_single,
  d_params = d_params_nocovar,
  m_params = m_params_nocovar
)
print(tab_obs_truth)
# }