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FLAME: Interpretable Matching for Causal Inference
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.
Getting started
Browse package contents
Package details |
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| Author | Vittorio Orlandi [aut, cre], Sudeepa Roy [aut], Cynthia Rudin [aut], Alexander Volfovsky [aut] |
| Maintainer | Vittorio Orlandi <almost.matching.exactly@gmail.com> |
| License | MIT + file LICENSE |
| Version | 2.1.1 |
| URL | https://almost-matching-exactly.github.io https://vittorioorlandi.github.io/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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