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PosiR: Post-Selection Inference via Simultaneous Confidence Intervals

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 + fileLICENSE
URL:https://github.com/Chukyhenry/PosiR
NeedsCompilation:no
Materials:README
CRAN checks:PosiR results

Documentation:

Reference manual:PosiR.html ,PosiR.pdf
Vignettes:Vignette (source,R code)

Downloads:

Package source: PosiR_0.1.2.tar.gz
Windows binaries: r-devel:PosiR_0.1.2.zip, r-release:PosiR_0.1.2.zip, r-oldrel:PosiR_0.1.2.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=PosiRto link to this page.


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