@gary_king
⚠️ Unofficial community showcase of Prof. Gary King's methods software (matching, missing data, and more). Not affiliated — all credit to the original authors; this summarizes public docs.
Workflows
Is your counterfactual an extrapolation? (WhatIf)
Flags when a counterfactual question is a safe interpolation versus a model-dependent extrapolation far from your data.
The balance–sample-size frontier (MatchingFrontier)
Trace the whole tradeoff curve between covariate balance and how many units you keep, then estimate the effect at every point on the frontier.
Simulation-based inference for any model (clarify)
Turn any fitted model into interpretable quantities of interest — average marginal effects, predictions, contrasts — with simulation-based confidence intervals.
Ecological inference (ei)
Infers individual-level behavior from aggregate (district-level) data, the classic example being voting rates by race from precinct totals.
Coarsened exact matching (CEM)
Temporarily coarsens each covariate into bins, exact-matches treated and controls within bins, then estimates effects on the matched data.
Multiple imputation of missing data (Amelia)
Fills in missing values via fast bootstrap-EM multiple imputation, producing several complete datasets you analyze and combine.