Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)
Checks whether two IPD datasets can be matched with lpSolve::lp
Exact matching for two IPD's
maicChecks: Exact Matching and Matching-Adjusted Indirect Comparison (...
Checks if AD is within the convex hull of IPD using lp-solve
Checks if AD is within the convex hull of IPD using Mahalanobis distan...
Checks whether AD is outside IPD in PC coordinates
Hotelling's T-square test to check whether maic is needed
Estimates the MAIC weights
Maximum ESS Weights
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>.)