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Interpretable Matching for Causal Inference

v2.1.1 · Dec 7, 2021 · MIT + file LICENSE

Description

Efficient implementations of the algorithms in the Almost-Matching-Exactly framework for interpretable matching in causal inference. These algorithms match units via a learned, weighted Hamming distance that determines which covariates are more important to match on. For more information and examples, see the Almost-Matching-Exactly website.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies glmnet gmp FLAME

Version History

new 2.1.1 Mar 9, 2026