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, spatial auto-regressive models.

Version:	0.4.8
Depends:	R (≥ 4.1.0)
Imports:	stats, Matrix, MASS, betareg, quantreg, survival, Formula (≥ 1.2.5), glmnet, ncvreg, rqPen
Published:	2026-05-13
DOI:	10.32614/CRAN.package.pboost
Author:	Zengchao Xu [aut, cre, cph]
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

Documentation:

Reference manual:

pboost.html , pboost.pdf

Downloads:

Package source:	pboost_0.4.8.tar.gz
Windows binaries:	r-devel: pboost_0.2.1.zip, r-release: pboost_0.2.1.zip, r-oldrel: pboost_0.2.1.zip
macOS binaries:	r-release (arm64): pboost_0.4.8.tgz, r-oldrel (arm64): pboost_0.4.8.tgz, r-release (x86_64): pboost_0.4.8.tgz, r-oldrel (x86_64): pboost_0.4.8.tgz
Old sources:	pboost archive

Linking:

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