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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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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.