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pboost: Profile Boosting Framework for Parametric Models
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.
Getting started
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Package details |
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| Author | Zengchao Xu [aut, cre] |
| Maintainer | Zengchao Xu <zengc.xu@aliyun.com> |
| License | GPL (>= 3) |
| Version | 0.2.1 |
| URL | https://github.com/paradoxical-rhapsody/pboost |
| Package repository | View on CRAN |
| Installation |
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