Profile 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.
- add
plagsarlm()andflagsarlm().
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 22 (1 internal)includes a package overview page
- Examples that run
- 88%7 run in a plain check · 1 never run
- Exported functions with examples
- 44%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 14%
Downloads
Repository
2 development-tooling and community-health practices detected across 1 family in the upstream repository
Checks run against github.com/paradoxical-rhapsody/pboost on 2026-10-18.
Dependencies
Installing pboost adds 51 packages (32 with compiled code, 66 MB of source tarballs). Heaviest: sf 9.3 MB, TH.data 8.2 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 0.4.11Latest2026-05-24 · current release · diff ↗ ·
removed 2 exports
fsar, psaradded 10 exports
flagsarlm, frq.fit, fsar.fit, pen_glmnet, pen_ncvreg, pen_rq, pen_sar, plagsarlm, prq.fit, psar.fit - 0.4.82026-05-13 · diff ↗ ·
added 15 exports
fbetareg, fcoxph, fglm, fglm.fit, flm, flm.fit, frq, frs, fsar, get_rho, pglm.fit, plm.fit, psar, sar.fit, set_rook_matrix - RR 4.6.0 released · 2026-04-24
- 0.2.12026-01-08
- 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
Cite
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