R Observatory: Metrics for irboost version 0.2-1.1

Balamuta, James Joseph

irboost

0.2-1.1

Iteratively Reweighted Boosting for Robust Analysis

0packages depend

3.6Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Zhu WangFirst published 2022-02-166 releasesCRAN page ↗

Fit a predictive model using iteratively reweighted boosting (IRBoost) to minimize robust loss functions within the CC-family (concave-convex). This constitutes an application of iteratively reweighted convex optimization (IRCO), where convex optimization is performed using the functional descent boosting algorithm. IRBoost assigns weights to facilitate outlier identification. Applications include robust generalized linear models and robust accelerated failure time models. Wang (2025) doi:10.6339/24-JDS1138.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("irboost", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-irboost

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-irboost

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-irboost

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 81 wordsVignettesNopkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 25%
Documented parameters: 100%
Return-value docs: 100%
References docs: 100%

Downloads

3.6K

CRAN downloads in the past year

Rank #8,483 · ~10/day · ~296/mo

Releases R versions

Daily download trend is not available in this view yet.

11630 days

1.1K90 days

3.6K1 year

Compare downloads with other packages →

Also on103 r2u4 autocran

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (2)

mpath xgboost

LinkingTo (0)

none

Suggests (4)

R.rsp DiagrammeRsurvivalHmisc

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Zhu Wang

Author, Maintainer

Authors (1)

Zhu Wang

Author, Maintainer

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.2-1.1Latest
2026-03-17 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2-1.0
2025-02-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1-1.5
2024-04-18 · diff ↗
0.1-1.3
2023-06-25 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1-1.2
2022-12-22 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1-1.1
2022-02-16
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-02-16
Total releases: 6 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Download size: 727 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("irboost")

Format

Wang, Z. (2026). irboost: Iteratively Reweighted Boosting for Robust Analysis (Version 0.2-1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.irboost

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

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for irboost version 0.2-1.1 [Data set]. HJJB, LLC. Data release v2026-08-07. https://r-observatory.thecoatlessprofessor.com/packages/irboost

From data release v2026-08-07, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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