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RIIM: Randomization-Based Inference Under Inexact Matching

Randomization-based inference for average treatment effects in potentially inexactly matched observational studies. It implements the inverse post-matching probability weighting framework proposed by the authors. The post-matching probability calculation follows the approach of Pimentel and Huang (2024) <doi:10.1093/jrsssb/qkae033>. The optimal full matching method is based on Hansen (2004) <doi:10.1198/106186006X137047>. The variance estimator extends the method proposed in Fogarty (2018) <doi:10.1111/rssb.12290> from the perfect randomization settings to the potentially inexact matching case. Comparisons are made with conventional methods, as described in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2>, Fogarty (2018) <doi:10.1111/rssb.12290>, and Kang et al. (2016) <doi:10.1214/15-aoas894>.

Version: 2.0.0
Imports: MASS, xgboost, optmatch
Suggests: VGAM, mvtnorm
Published: 2025-03-12
DOI: 10.32614/CRAN.package.RIIM
Author: Jianan Zhu [aut, cre], Jeffrey Zhang [aut], Zijian Guo [aut], Siyu Heng [aut]
Maintainer: Jianan Zhu <jz4698 at nyu.edu>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: RIIM results

Documentation:

Reference manual: RIIM.pdf

Downloads:

Package source: RIIM_2.0.0.tar.gz
Windows binaries: r-devel: RIIM_2.0.0.zip, r-release: RIIM_2.0.0.zip, r-oldrel: RIIM_2.0.0.zip
macOS binaries: r-devel (arm64): RIIM_2.0.0.tgz, r-release (arm64): RIIM_2.0.0.tgz, r-oldrel (arm64): RIIM_2.0.0.tgz, r-devel (x86_64): RIIM_2.0.0.tgz, r-release (x86_64): RIIM_2.0.0.tgz, r-oldrel (x86_64): RIIM_2.0.0.tgz

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.