Package: FLAME 2.1.1.9000

Vittorio Orlandi

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.

Authors:Vittorio Orlandi [aut, cre], Sudeepa Roy [aut], Cynthia Rudin [aut], Alexander Volfovsky [aut]

FLAME_2.1.1.9000.tar.gz
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FLAME.pdf |FLAME.html✨
FLAME/json (API)

# Install 'FLAME' in R:
install.packages('FLAME', repos = c('https://vittorioorlandi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/vittorioorlandi/flame/issues

On CRAN:

8 exports 5 stars 6.23 score 11 dependencies 256 mentions 20 scripts 1.3k downloads

Last updated 3 years agofrom:c7c26df8d3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-winOKSep 10 2024
R-4.5-linuxOKSep 10 2024
R-4.4-winOKSep 10 2024
R-4.4-macOKSep 10 2024
R-4.3-winOKSep 10 2024
R-4.3-macOKSep 10 2024

Exports:ATCATEATTCATEDAMEFLAMEgen_dataMG

Dependencies:codetoolsforeachglmnetgmpiteratorslatticeMatrixRcppRcppEigenshapesurvival

Introduction to Almost Matching Exactly

Vittorio Orlandi

Rendered fromintro_to_AME.Rmdusingknitr::rmarkdownon Sep 10 2024.

Last update: 2021-07-10
Started: 2021-07-01