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 |
| Reference manual: | RIIM.html , RIIM.pdf |
| 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-release (arm64): RIIM_2.0.0.tgz, r-oldrel (arm64): RIIM_2.0.0.tgz, r-release (x86_64): RIIM_2.0.0.tgz, r-oldrel (x86_64): RIIM_2.0.0.tgz |
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