Calculate conditional effects for MCMC fit objects

Usage

# S3 method for class 'mcmc_fit'
conditional_effects(
  fit,
  effect,
  prob = 0.95,
  sd_multiplier = 1,
  sd_slice = NULL,
  resolution = 100,
  ...
)

Arguments

fit: An object of class `MCMC_Fit`.
effect: Name of the explanatory variable to visualize (e.g., "X1" or "X1:X2").
prob: Probability for the credible/confidence interval (default is 0.95).
sd_multiplier: Numeric. Multiplier for standard deviation when splitting continuous moderators (default is 1).
sd_slice: Logical or NULL. If TRUE, continuous moderators are evaluated at mean - SD, mean, and mean + SD. If FALSE, all observed moderator values are used. If NULL (default), sd slicing is used automatically when the moderator has 6 or more unique values.
resolution: Grid resolution to calculate for continuous variables (default is 100).
...: Additional arguments.

Value

A `ce_rtmb` object.