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maicChecks: an R package

Details see

https://clyau.github.io/maicChecks/

Reference

  • Glimm E and Yau L. (2025). "Exact matching as an alternative to propensity score matching." Statistics in Biopharmaceutical Research.
  • Glimm E and Yau L. (2022). "Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons." Pharmaceutical Statistics. 21(5):974-987.

Package authors

  • Lillian Yau
  • Ekkehard Glimm
  • Xinlei Deng

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Version

Install

install.packages('maicChecks')

Monthly Downloads

331

Version

0.2.0

License

GPL (>= 3)

Maintainer

Lillian Yau

Last Published

March 3rd, 2025

Functions in maicChecks (0.2.0)

exmWt.2ipd

Exact matching for two IPD's
exmLP.2ipd

Checks whether two IPD datasets can be matched with lpSolve::lp
maicLP

Checks if AD is within the convex hull of IPD using lp-solve
maicT2Test

Hotelling's T-square test to check whether maic is needed
maicPCA

Checks whether AD is outside IPD in PC coordinates
maicMD

Checks if AD is within the convex hull of IPD using Mahalanobis distance
eAD

three AD scenarios
eIPD

an IPD set
maxessWt

Maximum ESS Weights
maicWt

Estimates the MAIC weights
sim110

Simulated data used for exact matching
maicChecks-package

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