pboost-package: pboost: Profile Boosting Framework for Parametric Models
In pboost: Profile Boosting Framework for Parametric Models
pboost-package R Documentation
pboost: Profile Boosting Framework for Parametric Models
Description
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.
Author(s)
Maintainer: Zengchao Xu zengc.xu@aliyun.com
See Also
Useful links:
pboost documentation built on Jan. 9, 2026, 1:07 a.m.
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| pboost-package | R Documentation |
pboost: Profile Boosting Framework for Parametric Models
Description
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.
Author(s)
Maintainer: Zengchao Xu zengc.xu@aliyun.com
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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