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Calculates confidence intervals after variable selection using repeated data splits. The package offers methods to address the challenges of post-selection inference, ensuring more accurate confidence intervals in models involving variable selection. The two main functions are 'lmps', which records the different models selected across multiple data splits as well as the corresponding coefficient estimates, and 'cips', which takes the lmps object as input to select variables and perform inferences using two types of voting.
| Version: | 0.2.1 |
| Imports: | MASS, doParallel, foreach, ggplot2, glmnet, magrittr, mlbench, tictoc |
| Published: | 2024-10-22 |
| DOI: | 10.32614/CRAN.package.CIpostSelect |
| Author: | Boubacar DIALLO [aut, cre] |
| Maintainer: | Boubacar DIALLO <boubacar.diallo0 at yahoo.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | CIpostSelect results |
| Reference manual: | CIpostSelect.pdf |
| Package source: | CIpostSelect_0.2.1.tar.gz |
| Windows binaries: | r-devel: CIpostSelect_0.2.1.zip, r-release: CIpostSelect_0.2.1.zip, r-oldrel: CIpostSelect_0.2.1.zip |
| macOS binaries: | r-release (arm64): CIpostSelect_0.2.1.tgz, r-oldrel (arm64): CIpostSelect_0.2.1.tgz, r-release (x86_64): CIpostSelect_0.2.1.tgz, r-oldrel (x86_64): CIpostSelect_0.2.1.tgz |
| Old sources: | CIpostSelect archive |
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These binaries (installable software) and packages are in development.
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