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PosiR  

Post-Selection Inference via Simultaneous Confidence Intervals
View on CRAN: Click here


Download and install PosiR package within the R console
Install from CRAN:
install.packages("PosiR")

Install from Github:
library("remotes")
install_github("cran/PosiR")

Install by package version:
library("remotes")
install_version("PosiR", "0.1.2")



Attach the package and use:
library("PosiR")
Maintained by
Henry Chukwuma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-30
Latest Update: 2025-04-30
Description:
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.
How to cite:
Henry Chukwuma (2025). PosiR: Post-Selection Inference via Simultaneous Confidence Intervals. R package version 0.1.2, https://cran.r-project.org/web/packages/PosiR. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Complete documentation for PosiR
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Full PosiR package functions and examples
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