R Observatory: Metrics for dfr version 0.1.6

Balamuta, James Joseph

dfr

0.1.6

Dual Feature Reduction for SGL

0packages depend

2.4Kdownloads / year

62.6%test coverage

13/13checks pass

Overview

About

Maintained by Fabio FeserFirst published 2024-09-267 releasesCRAN page ↗GitHub ↗

Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) doi:10.48550/arXiv.2405.17094). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) doi:10.1080/10618600.2012.681250) and aSGL (Mendez-Civieta et al. (2020) doi:10.1007/s11634-020-00413-8 and Poignard (2020) doi:10.1007/s10463-018-0692-7) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) doi:10.48550/arXiv.1804.02339) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.

Install

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

install.packages("dfr", 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("ff1201/dfr")

Development version from ff1201/dfr. 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-dfr

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-dfr

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-dfr

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

Health

CRAN checks

13OK

Slowest check: 6.5 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.41

62.6%

Coverage · measured lines

100%

Documentation · exports

8

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 273 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

2.4K

CRAN downloads in the past year

Rank #21,001 · ~6/day · ~196/mo

Releases R versions

Daily download trend is not available in this view yet.

10530 days

51790 days

2.4K1 year

Compare downloads with other packages →

Also on106 r2u4 autocran

Repository

GitHub ↗ ff1201/dfr

1Stars

0Forks

2Open issues

0Open PRs

0Releases

9Commits

1Contributors

9 commits · Last activity 2026-06-28

Stars over time

2024-09-24 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ff1201/dfr on 2026-08-03.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (8)

sgs caretMASSmethodsstatsgrDevicesgraphicsMatrix

LinkingTo (0)

none

Suggests (4)

SGL gglasso glmnet testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Fabio Feser

Author, Maintainer

Authors (1)

Fabio Feser

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.1.6Latest
2025-09-30 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.5
2025-03-06 · diff ↗
0.1.4
2025-02-06 · diff ↗
0.1.3
2025-02-03 · diff ↗
0.1.2
2024-11-28 · diff ↗
0.1.1
2024-11-16 · diff ↗
unarchivedReturned to CRAN
2024-11-16
archivedRemoved from CRAN
2024-11-05
requires archived package 'faux'
0.1.0
2024-09-26
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-09-26
Total releases: 7 / 2 yrs
License: GPL (>= 3) OSI
Download size: 81 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("dfr")

CRAN DOI

https://doi.org/10.32614/CRAN.package.dfr

BibTeX, derived from DESCRIPTION

@Manual{dfr,
  title  = {dfr: Dual Feature Reduction for SGL},
  author = {Feser, Fabio},
  year   = {2025},
  note   = {R package version 0.1.6},
  doi    = {10.32614/CRAN.package.dfr},
  url    = {https://CRAN.R-project.org/package=dfr}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorydfr,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {dfr} version 0.1.6},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/dfr},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dfr version 0.1.6 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/dfr

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for dfr version 0.1.6
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/dfr
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/dfr.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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