Conduct inference on the sample average treatment effect for a matched (observational) dataset with a continuous treatment. Equipped with calipered non-bipartite matching, bias-corrected sample average treatment effect estimation, and covariate-adjusted variance estimation. Matching, estimation, and inference methods are described in Frazier, Heng and Zhou (2024) <doi:10.48550/arXiv.2409.11701>.
| Version: | 1.0.3 |
| Imports: | nbpMatching, stats,Rdpack |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-10-17 |
| DOI: | 10.32614/CRAN.package.nbpInference |
| Author: | Anthony Frazier [aut, cre, cph], Siyu Heng [aut], Wen Zhou [aut] |
| Maintainer: | Anthony Frazier <anthony.frazier at colostate.edu> |
| BugReports: | https://github.com/AnthonyFrazierCSU/nbpInference/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/AnthonyFrazierCSU/nbpInference |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | nbpInference results |
| Reference manual: | nbpInference.html ,nbpInference.pdf |
| Package source: | nbpInference_1.0.3.tar.gz |
| Windows binaries: | r-devel:nbpInference_1.0.3.zip, r-release:nbpInference_1.0.3.zip, r-oldrel:nbpInference_1.0.3.zip |
| macOS binaries: | r-release (arm64):nbpInference_1.0.3.tgz, r-oldrel (arm64):nbpInference_1.0.3.tgz, r-release (x86_64):nbpInference_1.0.3.tgz, r-oldrel (x86_64):nbpInference_1.0.3.tgz |
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