R Observatory: Metrics for sgboost version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sgboost

0.2.0Package record

Sparse-Group Boosting

0packages depend

2.2Kdownloads / year

81.7%test coverage

13/13flavors OK

Overview

About

Maintained by Fabian ObsterCRAN page ↗GitHub ↗Issues ↗

Sparse-group boosting to be used in conjunction with the 'mboost' for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("FabianObster/sgboost")

Development version from FabianObster/sgboost. Installs pak first if it is not already available.

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-sgboost

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-sgboost

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-sgboost

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: 9.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 131 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.2.0Citation fileNo

Help pages: 8
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

A sparse-group boosing Tutorial in R HTML

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #21,566 · ~6/day · ~183/mo

Releases R versions

Daily download trend is not available in this view yet.

22530 days

61590 days

2.2K1 year

Compare downloads with other packages →

Also on70 r2u2 autocran

How downloads are counted

Repository

fabianobster/sgboost ↗Account: FabianObster

1Stars

0Forks

1Open issues

0Open PRs

1Releases

67Commits

1Commit identities

67 commits · Last activity 2025-02-16 · The default branch showed an older version (0.1.4) than CRAN on 2026-10-22

Responsiveness

not measured

Stars over time

2025-02-18 · 12026-07-07 · 1

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fabianobster/sgboost on 2026-10-22.

Docs source (1)

README.Rmd

CRAN release process (3)

cran-comments.mdrevdep/CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing sgboost adds 45 packages (27 with compiled code, 39 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, partykit 2.1 MB.

Depends (0)

none

Imports (7)

dplyr mboost stringr rlang tibble ggplot2 ggforce

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown spelling testthat

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)

Fabian Obster

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.2.0Latest
record
2025-02-17 · current release · diff ↗ ·
added 1 export
balance
0.1.3
record
2024-05-19 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.1.2
record
2024-04-22 · diff ↗
0.1.0
record
2024-04-11
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-04-11
Total releases: 4 / 2 yrs
License: MIT + file LICENSE OSI
Download size: 105 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sgboost")

Format

Obster, F. (2025). sgboost: Sparse-Group Boosting (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.sgboost

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sgboost version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, 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 →