A profile boosting framework for feature selection in parametric models. It offers a unified interface pboost() and several wrapped models, including linear model, generalized linear models, quantile regression, Cox proportional hazards model, beta regression. An S3 interface EBIC() is provided as the stopping rule for the profile boosting by default.
| Version: | 0.2.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, Matrix, MASS, betareg, quantreg, survival, Formula |
| Published: | 2026-01-08 |
| DOI: | 10.32614/CRAN.package.pboost (may not be active yet) |
| Author: | Zengchao Xu [aut, cre] |
| Maintainer: | Zengchao Xu <zengc.xu at aliyun.com> |
| BugReports: | https://github.com/paradoxical-rhapsody/pboost/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/paradoxical-rhapsody/pboost |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | pboost results |
| Reference manual: | pboost.html , pboost.pdf |
| Package source: | pboost_0.2.1.tar.gz |
| Windows binaries: | r-devel: pboost_0.2.1.zip, r-release: not available, r-oldrel: pboost_0.2.1.zip |
| macOS binaries: | r-release (arm64): pboost_0.2.1.tgz, r-oldrel (arm64): pboost_0.2.1.tgz, r-release (x86_64): pboost_0.2.1.tgz, r-oldrel (x86_64): pboost_0.2.1.tgz |
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