Post-Selection Inference via Simultaneous Confidence Intervals R package PosiR version 0.1.2 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. Software Depends: R (>= 4.0.0) Imports: graphics, parallel, stats Suggests: knitr, pbapply, rmarkdown, testthat (>= 3.0.0), dplyr, glmnet Henry Chukwuma <chukyhenry55@gmail.com> Comprehensive R Archive Network (CRAN) Henry Chukwuma [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=PosiR/LICENSE) 2025-04-30 application/tgz https://CRAN.R-project.org/package=PosiR doi:10.32614/CRAN.package.PosiR