pboost
0.4.11Profile Boosting Framework for Parametric Models
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 88%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 14%
Downloads
Repository
Repository practices
2 development-tooling and community-health practices detected across 1 family in the upstream repository
Checks run against github.com/paradoxical-rhapsody/pboost on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.4.11Latest
- 0.4.82026-05-13 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 0.2.12026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-08
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 24 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("pboost")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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