Package index • brms.mmrm

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brms.mmrm-package: brms.mmrm: Bayesian MMRMs using brms

Data

brm_data(): Create and preprocess an MMRM dataset.

brm_data_change(): Convert to change from baseline.

brm_data_chronologize(): Chronologize a dataset

Simulation

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.

Informative prior archetypes

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

Archetype utilities

brm_recenter_nuisance(): Recenter nuisance variables

Priors

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

Models

brm_formula(): Model formula

brm_formula_sigma(): Formula for standard deviation parameters

brm_model(): Fit an MMRM.

Marginals

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_grid(): Marginal names grid.

brm_marginal_summaries(): Summary statistics of the marginal posterior of an MMRM.

brm_marginal_probabilities(): Marginal probabilities on the treatment effect for an MMRM.

Transformations

brm_transform_marginal(): Marginal mean transformation

Visualization

brm_plot_compare(): Visually compare the marginals of multiple models and/or datasets.

brm_plot_draws(): Visualize posterior draws of marginals.