# Bayesian MMRMs using 'brms'

## Documentation for package ‘brms.mmrm’ version 1.0.1

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

## Help Pages

brms.mmrm-package | brms.mmrm: Bayesian MMRMs using 'brms'
brm_archetype_average_cells | Cell-means-like time-averaged archetype
brm_archetype_average_effects | Treatment effect time-averaged archetype
brm_archetype_cells | Cell means archetype
brm_archetype_effects | Treatment effect archetype
brm_archetype_successive_cells | Cell-means-like successive differences archetype
brm_archetype_successive_effects | Treatment-effect-like successive differences archetype
brm_data | Create and preprocess an MMRM dataset.
brm_data_change | Convert to change from baseline.
brm_formula | Model formula
brm_formula.brms_mmrm_archetype | Model formula
brm_formula.default | Model formula
brm_formula_sigma | Formula for standard deviation parameters
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 | Fit an MMRM.
brm_plot_compare | Visually compare the marginals of multiple models and/or datasets.
brm_plot_draws | Visualize posterior draws of marginals.
brm_prior_archetype | Informative priors for fixed effects in archetypes
brm_prior_label | Label a prior with levels in the data.
brm_prior_simple | Simple prior for a 'brms' MMRM
brm_prior_template | Label template for informative prior archetypes
brm_recenter_nuisance | Recenter nuisance variables
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.
brm_transform_marginal | Marginal mean transformation