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.
- Version2.1.1
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release12/07/2021
Documentation
Team
Vittorio Orlandi
Sudeepa Roy
Show author detailsRolesAuthorCynthia Rudin
Show author detailsRolesAuthorAlexander Volfovsky
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 782 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 68 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 9,305 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Apr 12, 2025 with 91 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Suggests6 packages