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:
FLAME_2.1.1.9000.tar.gz
FLAME_2.1.1.9000.zip(r-4.5)FLAME_2.1.1.9000.zip(r-4.4)FLAME_2.1.1.9000.zip(r-4.3)
FLAME_2.1.1.9000.tgz(r-4.4-any)FLAME_2.1.1.9000.tgz(r-4.3-any)
FLAME_2.1.1.9000.tar.gz(r-4.5-noble)FLAME_2.1.1.9000.tar.gz(r-4.4-noble)
FLAME_2.1.1.9000.tgz(r-4.4-emscripten)FLAME_2.1.1.9000.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/vittorioorlandi/flame/issues
Last updated 3 years agofrom:c7c26df8d3. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | OK | Nov 09 2024 |
R-4.5-linux | OK | Nov 09 2024 |
R-4.4-win | OK | Nov 09 2024 |
R-4.4-mac | OK | Nov 09 2024 |
R-4.3-win | OK | Nov 09 2024 |
R-4.3-mac | OK | Nov 09 2024 |
Exports:ATCATEATTCATEDAMEFLAMEgen_dataMG
Dependencies:codetoolsforeachglmnetgmpiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Almost Matching Exactly (AME) Algorithms for Discrete, Observational Data | AME DAME FLAME print.ame |
Average Treatment Effect estimates | ATC ATE ATT |
Conditional Average Treatment Effects | CATE |
Generate Toy Data for Matching | gen_data |
Matched Groups | MG |
Plot a summary of FLAME or DAME | plot.ame |
Summarize the output of FLAME or DAME | print.summary.ame summary.ame |