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

The current version (0.3.0) streamlines the underlying code, adds a feasibility check to 'maicWt' and 'maxessWt', extends 'exmWt.2ipd' with options 'target.ipd' and 'method' for one-sided MAIC weighting between two IPDs, and adds 'wtTrtDiff' for the weighted treatment-effect difference with a Wald confidence interval based on Section 5 of Glimm & Yau (2026). The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2026) <doi:10.1080/19466315.2025.2507378>). 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 (2022) <doi:10.1002/pst.2210>.)

Version:	0.3.0
Depends:	R (≥ 3.5.0)
Imports:	data.table, tidyr, ggplot2, lpSolve, quadprog
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-07-03
DOI:	10.32614/CRAN.package.maicChecks
Author:	Lillian Yau [aut, cre], Ekkehard Glimm [aut], Xinlei Deng [aut]
Maintainer:	Lillian Yau <maicChecks at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README
In views:	CausalInference
CRAN checks:	maicChecks results

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