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FLAME  

Interpretable Matching for Causal Inference
View on CRAN: Click here


Download and install FLAME package within the R console
Install from CRAN:
install.packages("FLAME")

Install from Github:
library("remotes")
install_github("cran/FLAME")

Install by package version:
library("remotes")
install_version("FLAME", "2.1.1")



Attach the package and use:
library("FLAME")
Maintained by
Vittorio Orlandi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-18
Latest Update: 2021-12-07
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.
How to cite:
Vittorio Orlandi (2018). FLAME: Interpretable Matching for Causal Inference. R package version 2.1.1, https://cran.r-project.org/web/packages/FLAME. Accessed 28 Oct. 2026.
Previous versions and publish date:
1.0.0 (2018-12-18 00:40), 2.0.0 (2020-04-15 02:30), 2.1.0 (2021-07-07 14:40), (2026-07-09 08:03)
Other packages that cited FLAME R package
View FLAME citation profile
Other R packages that FLAME depends, imports, suggests or enhances
Complete documentation for FLAME
Functions, R codes and Examples using the FLAME R package
Some associated functions: AME . ATE . CATE . MG . gen_data . plot.ame . summary.ame . 
Some associated R codes: BF.R . GenerateNewActiveSets.R . PE_functions.R . algos.R . arg_checker.R . class_funs.R . data_read.R . gen_data.R . get_cov_set.R . helpers.R . loop.R . missing.R . post_matching.R . postprocess.R . preprocess.R . remap_covariates.R . stopping.R .  Full FLAME package functions and examples
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