Conditional effects of main-formula predictors

Marginal-effect curves for main-formula covariates: the expected outcome on the linear-predictor scale across a grid of the chosen predictor, holding the other main-formula covariates at their means and the block features, random effects, and interactions at their sample-average contribution.

Usage

conditional_effects(x, ...)

# S3 method for class 'bml'
conditional_effects(x, effects = NULL, resolution = 100, ...)

Arguments

x

A fitted bml model (fitted with monitor = TRUE).

...

Unused.

effects

Character vector of main-formula term names. Default: all numeric main-formula terms.

resolution

Grid size. Default: 100.

Value

A named list of data frames (one per effect) with columns value, estimate, lb, ub, suitable for plotting.