Skip to content

pboost

0.4.11Package record

Profile Boosting Framework for Parametric Models

0packages depend
3.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.4.11
  • add plagsarlm() and flagsarlm().

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.11
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.4.11Citation fileNoWebsitenot declared in DESCRIPTION
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

3.8K
CRAN downloads in the past year
Rank #14,733 · ~10/day · ~317/mo
Daily download trend is not available in this view yet.
27530 days
80790 days
3.8K1 year
Compare downloads with other packages →
Also on60 r2u3 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
License file reads as GPL-3.0 · Last activity 2026-05-22
Responsiveness
not measured
PracticesBeta

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.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.2.1 (2026), Copyright holder
Releases (3)

Pick two releases to compare their code metrics.

  • 0.4.11Latest
    record
    2026-05-24 · current release · diff ↗ ·
    removed 2 exports
    fsar, psar
    added 10 exports
    flagsarlm, frq.fit, fsar.fit, pen_glmnet, pen_ncvreg, pen_rq, pen_sar, plagsarlm, prq.fit, psar.fit
  • 0.4.8
    record
    2026-05-13 · 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
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1
    record
    2026-01-08
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("pboost")
Xu, Z. (2026). pboost: Profile Boosting Framework for Parametric Models (Version 0.4.11) [Computer software]. https://doi.org/10.32614/CRAN.package.pboost

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pboost version 0.4.11 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy