Function reference
-
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_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_prior_simple()
- Simple prior for a
brms
MMRM
-
brm_formula()
- Model formula
-
brm_model()
- Basic MMRM
-
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_summaries()
- Summary statistics of the marginal posterior of an MMRM.
-
brm_marginal_probabilities()
- Marginal probabilities on the treatment effect for an MMRM.
-
brm_transform_marginal()
- Marginal mean transformation
-
brm_plot_compare()
- Visually compare the marginals of multiple models and/or datasets.
-
brm_plot_draws()
- Visualize posterior draws of marginals.