R Observatory: Metrics for biglasso version 1.6.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

biglasso

1.6.1

Extending Lasso Model Fitting to Big Data

2packages depend

49.4Kdownloads / year

0.1%test coverage

13/13checks pass

Overview

About

Maintained by Patrick BrehenyFirst published 2016-03-0215 releasesCRAN page ↗GitHub ↗

Extend lasso and elastic-net model fitting for large data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data with limited RAM doi:10.32614/RJ-2021-001.

Install

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

install.packages("biglasso", 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("pbreheny/biglasso")

Development version from pbreheny/biglasso. 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-biglasso

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-biglasso

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-biglasso

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

Health

CRAN checks

13OK

Slowest check: 6.1 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.00

0.1%

Coverage · measured lines

100%

Documentation · exports

5

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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,466 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 77%
Documented parameters: 90%
Return-value docs: 100%
References docs: 21%

Downloads

49.4K

CRAN downloads in the past year

Rank #2,232 · ~135/day · ~4.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

3.1K30 days

9K90 days

49.4K1 year

Compare downloads with other packages →

Also on509 r2u29 autocran5K conda_forge74 c2d4u

Repository

GitHub ↗ pbreheny/biglasso

115Stars

30Forks

24Open issues

0Open PRs

0Releases

414Commits

12Contributors

lassorout-of-corebigdataparallel-computing

414 commits · Last activity 2026-08-17 · 0% stars, 30d

Stars over time

2025-03-10 · 1132026-07-07 · 115

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/pbreheny/biglasso on 2026-08-16.

Continuous integration (1)

GitHub Actions

Automation and maintenance (1)

Dependabot

Lint, format, editor (1)

lintr

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (4)

R >= 3.2.0bigmemoryMatrixncvreg

Imports (2)

Rcppmethods

LinkingTo (4)

Rcpp RcppArmadillo bigmemory BH

Suggests (6)

glmnet knitrparallelrmarkdownsurvivaltinytest

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

plmmr SuperLearner

Code & Tests

People & History

People (4)

Maintainer (1)

Patrick Breheny

Author, Maintainer

Authors (4)

Patrick Breheny

Author, Maintainer

Tabitha Peter

Author · added in 1.6.0

Chuyi Wang

Author · added in 1.4.0

Yaohui Zeng

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.6.1Latest
2025-03-05 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.6.0
2024-04-21 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.5.2
2022-10-06 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.5.1
2022-03-09 · diff ↗
unarchivedReturned to CRAN
2022-03-09
archivedRemoved from CRAN
2022-02-28
check problems were not corrected in time
1.5.0
2022-02-08 · diff ↗
unarchivedReturned to CRAN
2022-02-08
archivedRemoved from CRAN
2022-01-28
check problems were not corrected in time
R
R 4.1.0 released · 2021-05-18
1.4.1
2021-01-31 · diff ↗

Show 15 earlier events

1.4.0
2021-01-16 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.3-7
2019-09-09 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.3-6
2017-05-04 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.3-5
2017-04-04 · diff ↗
1.3-3
2017-01-26 · diff ↗
1.3-1
2016-12-31 · diff ↗
1.3-0
2016-12-21 · diff ↗
1.2-3
2016-11-14 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.0-1
2016-03-02
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2016-03-02
Total releases: 15 / 10 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.2.0
Bundled data: 381 KB / 1 file
Download size: 804 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("biglasso")

Format

Breheny, P., Peter, T., Wang, C., & Zeng, Y. (2025). biglasso: Extending Lasso Model Fitting to Big Data (Version 1.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.biglasso

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 biglasso version 1.6.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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