Calculate ideal point marginal effects

Description

This function allows you to calculate ideal point marginal effects for a given person-level hierarchical covariate.

Usage

id_me(object, ...)

Arguments

object	A fitted idealstan model
covariate	The character value for a covariate passed to the ‘id_make’ function before model fitting. Only one covariate can be processed at a time.
eps	The value used for numerical differentiation. Default is 1e-4. Usually does not need to be changed.

Details

This function will calculate item-level ideal point marginal effects for a given covariate that was passed to the ‘id_make’ function using the ‘person_cov’ option. The function will iterate over all items in the model and use numerical differentiation to calculate responses in the scale of the outcome for each item. Note: if the covariate is binary (i.e., only has two values), then the function will calculate the difference between these two values instead of using numerical differentation.

Value

Returns a tibble that has one row per posterior draw per item-specific marginal effect in the scale of th eoutcome.