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FLAME
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]
[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 17 Jul. 2026.
Previous versions and publish date:
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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