R Observatory: Metrics for adelie version 1.0.10

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

adelie

1.0.10Package record

Group Lasso and Elastic Net Solver for Generalized Linear Models

0packages depend

4.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Trevor HastieCRAN page ↗GitHub ↗Issues ↗

Extremely efficient procedures for fitting the entire group lasso and group elastic net regularization path for GLMs, multinomial, the Cox model and multi-task Gaussian models. Similar to the R package 'glmnet' in scope of models, and in computational speed. This package provides R bindings to the C++ code underlying the corresponding Python package 'adelie'. These bindings offer a general purpose group elastic net solver, a wide range of matrix classes that can exploit special structure to allow large-scale inputs, and an assortment of generalized linear model classes for fitting various types of data. The package is an implementation of Yang, J. and Hastie, T. (2024) doi:10.48550/arXiv.2405.08631.

Changes in 1.0.10

Fixed an issue with standardization. Variables with zero variance get turned into Inf. What we do instead is change the variance to Inf, and those variables become all 0 and are given zero coefficients. This problem can exhibit during CV.
Fixed the dense-matrix sp_tmul so that its serial path honors n_threads. Its n_threads = 1 branch ran a raw Eigen product that ignored the requested thread count and fell back to Eigen's global default (all cores), inflating example CPU time to user/elapsed ~10x with no wall-clock gain on a many-core machine (the source of CRAN's gcc-16 R-devel "CPU time > 2.5 times elapsed" NOTE). The inst/adelie submodule points at the one-line fix on a forked branch (bnaras/adelie@zero-variance). Investigation notes and a Docker reprex live in debug/ (excluded from the package tarball).

From NEWS.md in the release

Install

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

install.packages("adelie", 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("JamesYang007/adelie-r")

Development version from JamesYang007/adelie-r. 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-adelie

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-adelie

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-adelie

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: 19.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-02
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.10

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.10Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 38
Examples that run: 100%38 run in a plain check
Exported functions with examples: 100%
Documented parameters: 97%
Return-value docs: 94%
Help pages citing references: 32%

Vignettes (1)

An Introduction to `adelie` HTML

How these are measured

Downloads

4.2K

CRAN downloads in the past year

Rank #5,746 · ~12/day · ~351/mo

Releases R versions

Daily download trend is not available in this view yet.

54230 days

1.5K90 days

4.2K1 year

Compare downloads with other packages →

Also on536 r2u21 autocran

How downloads are counted

Repository

jamesyang007/adelie-r ↗Account: JamesYang007

7Stars

2Forks

4Open issues

1Open PRs

2Releases

117Commits

3Commit identities

117 commits · Last activity 2026-06-04 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 83%
Median days to close, 50 most recently updated closed issues: 1
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-06 · 62026-07-07 · 7

How these are measured

PracticesBeta

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

Checks run against github.com/jamesyang007/adelie-r on 2026-10-21.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Git structural (1)

Submodules

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing adelie adds 12 packages (9 with compiled code, 18 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (0)

none

Imports (6)

Matrixr2r Rcppmethodsstringrutils

LinkingTo (2)

Rcpp RcppEigen

Suggests (5)

ggplot2 gridExtra testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Trevor Hastie

Balasubramanian Narasimhan

Author

James Yang

Author, Copyright holder

Previously maintained by James Yang (1.0.0 to 1.0.1).

Releases (8)

Pick two releases to compare their code metrics.

1.0.10Latest
record
2026-06-03 · current release · diff ↗
1.0.9
record
2026-05-08 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.8
record
2025-07-01 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.7
record
2025-02-28 · diff ↗ ·
added 1 export
constraint.box
1.0.6
record
2025-02-14 · diff ↗ ·
added 5 exports
coef.glintnet, cv.glintnet, glintnet, matrix.convex_relu, predict.glintnet
1.0.2
record
2024-09-03 · diff ↗ ·
added 6 exports
coef.grpnet, cv.grpnet, matrix.eager_cov, plot.grpnet, predict.grpnet, print.cv.grpnet
1.0.1
record
2024-06-20 · diff ↗ ·
added 1 export
gaussian_cov
1.0.0
record
2024-06-17
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-06-17
Total releases: 8 / 2 yrs
License: MIT + file LICENSE OSI
Download size: 1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("adelie")

Format

Hastie, T., Narasimhan, B., & Yang, J. (2026). adelie: Group Lasso and Elastic Net Solver for Generalized Linear Models (Version 1.0.10) [Computer software]. https://doi.org/10.32614/CRAN.package.adelie

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 adelie version 1.0.10 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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