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Calculate and plot conditional effects for a fitted model.

Usage

plot_conditional_effects(
  fit,
  effect,
  prob = 0.95,
  sd_multiplier = 1,
  sd_slice = NULL,
  resolution = 100,
  ...
)

Arguments

fit

A fitted model object (e.g., `MCMC_Fit`, `MAP_Fit`, `VB_Fit`).

effect

Name of the variable to visualize (e.g., "X1" or "X1:X2").

prob

Probability for the credible/confidence interval.

sd_multiplier

Numeric multiplier for standard deviation when splitting continuous moderators.

sd_slice

Logical or NULL; controls whether continuous moderators are evaluated at mean - SD, mean, and mean + SD.

resolution

Grid resolution to calculate for continuous variables.

...

Additional arguments passed to the plot method.

Value

Invisibly returns the plotted object of class ce_rtmb.