R Observatory: Metrics for irboost version 0.2-1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

irboost

0.2-1.1Package record

Iteratively Reweighted Boosting for Robust Analysis

0packages depend

4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Zhu WangCRAN 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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.8 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

How this is measured·How advisories are found

Documentation

In release 0.2-1.1

READMEYes · 81 wordsVignettesYes · 1 · staticNEWSYes · 33% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 25%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

Vignettes (1)

An Introduction to irboost HTML

How these are measured

Downloads

4K

CRAN downloads in the past year

Rank #10,017 · ~11/day · ~331/mo

Releases R versions

Daily download trend is not available in this view yet.

37130 days

99790 days

4K1 year

Compare downloads with other packages →

Also on80 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing irboost adds 16 packages (10 with compiled code, 23 MB of source tarballs). Heaviest: data.table 5.7 MB, pscl 2.9 MB, glmnet 2.7 MB.

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.

How these are counted

Code & Tests

People & History

People (1)

Zhu Wang

Author, Maintainer since 0.1-1.1 (2022)

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2-1.1Latest
record
2026-03-17 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2-1.0
record
2025-02-04 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1-1.5
record
2024-04-18 · diff ↗ ·
removed 1 export
irboost_aft

added 2 exports
irb.train, irb.train_aft
0.1-1.3
record
2023-06-25 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1-1.2
record
2022-12-22 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1-1.1
record
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: 1.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("irboost")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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