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pboost

Profile Boosting Framework for Parametric Models

v0.4.11 · May 24, 2026 · GPL (>= 3)

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.

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13 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Matrix MASS betareg quantreg survival Formula (>= 1.2.5) glmnet ncvreg rqPen spatialreg pboost

Version History

3 tracked
updated 0.4.11 ← 0.4.8 diff May 24, 2026
updated 0.4.8 ← 0.2.1 diff May 13, 2026
new 0.2.1 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jan 8, 2026. Releases before tracking aren’t shown.