R: Bayesian MMRMs using 'brms'

# Bayesian MMRMs using 'brms'

## Documentation for package ‘brms.mmrm’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

brms.mmrm-package | brms.mmrm: Bayesian MMRMs using 'brms'
brm_data | Create and preprocess an MMRM dataset.
brm_data_change | Convert to change from baseline.
brm_formula | Model formula
brm_marginal_data | Marginal summaries of the data.
brm_marginal_draws | MCMC draws from the marginal posterior of an MMRM
brm_marginal_draws_average | Average marginal MCMC draws across time points.
brm_marginal_probabilities | Marginal probabilities on the treatment effect for an MMRM.
brm_marginal_summaries | Summary statistics of the marginal posterior of an MMRM.
brm_model | Basic MMRM
brm_plot_compare | Visually compare the marginals of multiple models and/or datasets.
brm_plot_draws | Visualize posterior draws of marginals.
brm_prior_simple | Simple prior for a 'brms' MMRM
brm_simulate_categorical | Append simulated categorical covariates
brm_simulate_continuous | Append simulated continuous covariates
brm_simulate_outline | Start a simulated dataset
brm_simulate_prior | Prior predictive draws.
brm_simulate_simple | Simple MMRM simulation.