VsusP: Variable Selection using Shrinkage Priors
Bayesian variable selection using shrinkage priors to identify significant variables in high-dimensional datasets. The package includes methods for determining the number of significant variables through innovative clustering techniques of posterior distributions, specifically utilizing the 2-Means and Sequential 2-Means (S2M) approaches. The package aims to simplify the variable selection process with minimal tuning required in statistical analysis.
| Version: | 1.0.0 |
| Imports: | bayesreg, stats |
| Suggests: | covr, MASS, knitr, rmarkdown, tinytex, testthat (≥ 3.0.0) |
| Published: | 2024-06-25 |
| DOI: | 10.32614/CRAN.package.VsusP |
| Author: | Nilson Chapagain 
[aut, cre],
Debdeep Pati [aut] |
| Maintainer: | Nilson Chapagain <nilson.chapagain at gmail.com> |
| BugReports: | https://github.com/nilson01/VsusP-variable-selection-using-shrinkage-priors/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/nilson01/VsusP-variable-selection-using-shrinkage-priors |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | VsusP results |
Documentation:
| Reference manual: | VsusP.pdf |
| Vignettes: |
Variable Selection using Shrinkage Priors (VsusP) |
Downloads:
| Package source: | VsusP_1.0.0.tar.gz |
| Windows binaries: | r-devel: VsusP_1.0.0.zip, r-release: VsusP_1.0.0.zip, r-oldrel: VsusP_1.0.0.zip |
| macOS binaries: | r-release (arm64): VsusP_1.0.0.tgz, r-oldrel (arm64): VsusP_1.0.0.tgz, r-release (x86_64): VsusP_1.0.0.tgz, r-oldrel (x86_64): VsusP_1.0.0.tgz |
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