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maicChecks: Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)

The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2025)). The initial version (0.1.2) contains a collection of easy-to-implement tools for checking whether a MAIC can be conducted, as well as an alternative way of calculating weights (see Glimm & Yau (2021) <doi:10.1002/pst.2210>.)

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: data.table, tidyr, ggplot2, lpSolve, quadprog
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-03-03
DOI: 10.32614/CRAN.package.maicChecks
Author: Lillian Yau [aut, cre], Ekkehard Glimm [aut], Xinlei Deng ORCID iD [aut]
Maintainer: Lillian Yau <maicChecks at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
In views: CausalInference
CRAN checks: maicChecks results

Documentation:

Reference manual: maicChecks.pdf

Downloads:

Package source: maicChecks_0.2.0.tar.gz
Windows binaries: r-devel: maicChecks_0.2.0.zip, r-release: maicChecks_0.2.0.zip, r-oldrel: maicChecks_0.2.0.zip
macOS binaries: r-devel (arm64): maicChecks_0.2.0.tgz, r-release (arm64): maicChecks_0.2.0.tgz, r-oldrel (arm64): maicChecks_0.2.0.tgz, r-devel (x86_64): maicChecks_0.2.0.tgz, r-release (x86_64): maicChecks_0.2.0.tgz, r-oldrel (x86_64): maicChecks_0.2.0.tgz
Old sources: maicChecks archive

Linking:

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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.