Package: MatchIt 4.7.0

Noah Greifer

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <doi:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)

Authors:Daniel Ho [aut], Kosuke Imai [aut], Gary King [aut], Elizabeth Stuart [aut], Alex Whitworth [ctb], Noah Greifer [cre, aut]

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MatchIt.pdf |MatchIt.html✨
MatchIt/json (API)
NEWS

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

Bug tracker:https://github.com/kosukeimai/matchit/issues

Pkgdown site:https://kosukeimai.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • lalonde - Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).

On CRAN:

cppopenmp

12.90 score 217 stars 21 packages 2.4k scripts 20k downloads 358 mentions 9 exports 8 dependencies

Last updated 1 months agofrom:a5eb69e434. Checks:1 ERROR, 10 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesFAILFeb 11 2025
R-4.5-win-x86_64WARNINGFeb 11 2025
R-4.5-mac-x86_64WARNINGFeb 11 2025
R-4.5-mac-aarch64WARNINGFeb 11 2025
R-4.5-linux-x86_64WARNINGFeb 11 2025
R-4.4-win-x86_64WARNINGFeb 11 2025
R-4.4-mac-x86_64WARNINGFeb 11 2025
R-4.4-mac-aarch64WARNINGFeb 11 2025
R-4.3-win-x86_64WARNINGFeb 11 2025
R-4.3-mac-x86_64WARNINGFeb 11 2025
R-4.3-mac-aarch64WARNINGFeb 11 2025

Exports:add_s.weightseuclidean_distget_matchesmahalanobis_distmatch_datamatch.datamatchitrobust_mahalanobis_distscaled_euclidean_dist

Dependencies:backportschkcligluelifecycleRcppRcppProgressrlang