The informationeffects package offers a complete pipeline for calculating information effects. It includes functions for constructing a knowledge scale from a set of knowledge items using IRT modeling; evaluating construct validity using estimated marginal means; calculating propensity scores for counterfactual modeling; evaluating propensity scores using balance plots; and calculating information effects in survey data using propensity scores and survey weights.

A practical guide with re-usable functions and R code providing a complete pipeline for estimating information effects.