brm_simulate: Deprecated: simulate an MMRM.

In brms.mmrm: Bayesian MMRMs using 'brms'

Deprecated: simulate an MMRM.

Description

Deprecated on 2023-09-01 (version 0.0.2.9001). Use brm_simulate_simple() instead.

Usage

brm_simulate(
  n_group = 2L,
  n_patient = 100L,
  n_time = 4L,
  hyper_beta = 1,
  hyper_sigma = 1,
  hyper_correlation = 1
)

Arguments

n_group	Positive integer of length 1, number of treatment groups.
n_patient	Positive integer of length 1, number of patients per treatment group.
n_time	Positive integer of length 1, number of discrete time points (e.g. scheduled study visits) per patient.
hyper_beta	Positive numeric of length 1, hyperparameter. Prior standard deviation of the fixed effect parameters.
hyper_sigma	Positive numeric of length 1, hyperparameter. Uniform prior upper bound of the time-specific residual standard deviation parameters.
hyper_correlation	Positive numeric of length 1, hyperparameter. LKJ shape parameter of the correlation matrix among repeated measures within each patient.

Value

A list of three objects:

• data: A tidy dataset with one row per patient per discrete time point and columns for the response and covariates.

• model_matrix: A matrix with one row per row of data and columns that represent levels of the covariates.

• parameters: A named list of parameter values sampled from the prior.

Examples

set.seed(0L)
simulation <- suppressWarnings(brm_simulate())
simulation$data

brms.mmrm documentation built on Oct. 3, 2024, 1:08 a.m.