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Post-selection inference in linear regression models, constructing simultaneous confidence intervals across a user-specified universe of models. Implements the methodology described in Kuchibhotla, Kolassa, and Kuffner (2022) "Post-Selection Inference" <doi:10.1146/annurev-statistics-100421-044639> to ensure valid inference after model selection, with applications in high-dimensional settings like Lasso selection.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.0.0) |
| Imports: | graphics, parallel, stats |
| Suggests: | knitr, pbapply, rmarkdown, testthat (≥ 3.0.0), dplyr, glmnet |
| Published: | 2025-04-30 |
| DOI: | 10.32614/CRAN.package.PosiR |
| Author: | Henry Chukwuma [aut, cre] |
| Maintainer: | Henry Chukwuma <chukyhenry55 at gmail.com> |
| BugReports: | https://github.com/Chukyhenry/PosiR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Chukyhenry/PosiR |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PosiR results |
| Reference manual: | PosiR.pdf |
| Vignettes: |
Vignette (source, R code) |
| Package source: | PosiR_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): PosiR_0.1.2.tgz, r-oldrel (arm64): PosiR_0.1.2.tgz, r-release (x86_64): PosiR_0.1.2.tgz, r-oldrel (x86_64): PosiR_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
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