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DMRnet

0.4.1Package record

Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data

0packages depend
5.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Model selection algorithms for regression and classification, where the predictors can be continuous or categorical and the number of regressors may exceed the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Szymon Nowakowski, Piotr Pokarowski, Wojciech Rejchel and Agnieszka Sołtys, 2023. Improving Group Lasso for High-Dimensional Categorical Data. In: Computational Science – ICCS 2023. Lecture Notes in Computer Science, vol 14074, p. 455-470. Springer, Cham. doi:10.1007/978-3-031-36021-3_47. Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka, 2015. Delete or merge regressors for linear model selection. Electronic Journal of Statistics 9(2): 1749-1778. doi:10.1214/15-EJS1050. Piotr Pokarowski and Jan Mielniczuk, 2015. Combined l1 and greedy l0 penalized least squares for linear model selection. Journal of Machine Learning Research 16(29): 961-992. https://www.jmlr.org/papers/volume16/pokarowski15a/pokarowski15a.pdf. Piotr Pokarowski, Wojciech Rejchel, Agnieszka Sołtys, Michał Frej and Jan Mielniczuk, 2022. Improving Lasso for model selection and prediction. Scandinavian Journal of Statistics, 49(2): 831–863. doi:10.1111/sjos.12546.

Changes in 0.4.1
  • Fixed invalid lambda.1se computation ((issue #69))
  • Changed the presentation of CV plots to reflect that fix
  • Updated documentation and the vignette

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-10
  • WARNING12 OK, 1 WARNING2026-05-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.1
READMEYes · 962 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.4.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
18includes a package overview page
Examples that run
94%17 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
74%
Return-value docs
100%
Help pages citing references
17%

Downloads

5.9K
CRAN downloads in the past year
Rank #8,355 · ~16/day · ~489/mo
Daily download trend is not available in this view yet.
41430 days
1.1K90 days
5.9K1 year
Compare downloads with other packages →
Also on76 r2u6 autocran

Repository

1Stars
0Forks
4Open issues
0Open PRs
6Releases
335Commits
3Commit identities
group-lassolassopartitionselectionvariable-selectionpartition-selection
335 commits · Last activity 2025-08-19 · Default branch at 0.4.1.9000, ahead of CRAN 0.4.1 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
79
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-06-07 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/szymonnowakowski/dmrnet on 2026-10-18.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing DMRnet adds 8 packages (5 with compiled code, 7.5 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (0)
none
Imports (6)
hclust1dglmnetgrpregstatsgraphicsutils
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.3.1 (2022) · added in 0.3.1
Author
previous maintainer for versions <= 0.2.0

Previously maintained by Agnieszka Prochenka-Sołtys (0.1.0 to 0.2.0).

Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.1Latest
    record
    2025-08-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.4.0
    record
    2023-08-07 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.3.4
    record
    2023-01-31 · diff ↗
  • 0.3.3
    record
    2022-11-16 · diff ↗
  • 0.3.2
    record
    2022-10-07 · diff ↗
  • 0.3.1
    record
    2022-07-19 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2.0
    record
    2018-03-24 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 0.1.0
    record
    2017-09-05
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-09-05
Total releases
8 / 9 yrs
License
GPL-2 OSI
Bundled data
21 KB / 2 files
Download size
113 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("DMRnet")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1007/978-3-031-36021-3_47.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DMRnet version 0.4.1 [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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