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MatchThem: Matching and Weighting Multiply Imputed Datasets

Provides essential tools for the pre-processing techniques of matching and weighting multiply imputed datasets. The package includes functions for matching within and across multiply imputed datasets using various methods, estimating weights for units in the imputed datasets using multiple weighting methods, calculating causal effect estimates in each matched or weighted dataset using parametric or non-parametric statistical models, and pooling the resulting estimates according to Rubin's rules (please see <https://journal.r-project.org/archive/2021/RJ-2021-073/> for more details).

Version: 1.2.1
Depends: R (≥ 3.6.0)
Imports: MatchIt (≥ 4.0.0), mice, rlang, survey, WeightIt
Suggests: Amelia, cobalt (≥ 4.0.0), R.rsp
Published: 2024-04-02
DOI: 10.32614/CRAN.package.MatchThem
Author: Farhad Pishgar [aut, cre], Noah Greifer [aut], Clémence Leyrat [ctb], Elizabeth Stuart [ctb]
Maintainer: Farhad Pishgar <Farhad.Pishgar at Gmail.com>
BugReports: https://github.com/FarhadPishgar/MatchThem/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/FarhadPishgar/MatchThem
NeedsCompilation: no
Citation: MatchThem citation info
Materials: README NEWS
In views: CausalInference, MissingData, OfficialStatistics
CRAN checks: MatchThem results

Documentation:

Reference manual: MatchThem.pdf
Vignettes: MatchThem:: Cheat Sheet
MatchThem:: Matching and Weighting after Multiple Imputation

Downloads:

Package source: MatchThem_1.2.1.tar.gz
Windows binaries: r-devel: MatchThem_1.2.1.zip, r-release: MatchThem_1.2.1.zip, r-oldrel: MatchThem_1.2.1.zip
macOS binaries: r-release (arm64): MatchThem_1.2.1.tgz, r-oldrel (arm64): MatchThem_1.2.1.tgz, r-release (x86_64): MatchThem_1.2.1.tgz, r-oldrel (x86_64): MatchThem_1.2.1.tgz
Old sources: MatchThem archive

Reverse dependencies:

Reverse suggests: cobalt

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MatchThem to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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