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, spatial auto-regressive models.
Author(s)
Maintainer: Zengchao Xu zengc.xu@aliyun.com [copyright holder]
Authors:
Zengchao Xu zengc.xu@aliyun.com [copyright holder]
See Also
Useful links:
pboost documentation built on May 24, 2026, 9:08 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, spatial auto-regressive models.
Author(s)
Maintainer: Zengchao Xu zengc.xu@aliyun.com [copyright holder]
Authors:
Zengchao Xu zengc.xu@aliyun.com [copyright holder]
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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