All functions

counterfactual()

Generate "counterfactual" datasets for use in marginaleffects's newdata argument

get_posterior_draws()

Extract posterior draws from a predictions or marginaleffects object derived from Bayesian brms models

marginaleffects()

Marginal effects using numerical derivatives

marginalmeans()

Marginal Means

plot(<marginaleffects>)

Point-range plot of average marginal effects

plot_cap()

Conditional adjusted predictions plot

plot_cme()

Conditional marginal effects plot

predictions()

Adjusted Predictions

print(<marginaleffects.summary>)

Print a marginaleffects summary

print(<marginalmeans.summary>)

Print a marginalmeans summary

summary(<marginaleffects>)

Summarize a marginaleffects object

summary(<marginalmeans>)

Summarize a marginalmeans object

supported_models

List of model types supported by the marginaleffects package

tidy(<marginaleffects>)

Tidy a marginaleffects object

tidy(<marginalmeans>)

Tidy a marginalmeans object

typical()

Generate "typical" datasets for use in marginaleffects's newdata argument