R Observatory: Metrics for ordinalNet version 2.14

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ordinalNet

2.14

Penalized Ordinal Regression

3packages depend

12.5Kdownloads / year

64.6%test coverage

13/13checks pass

Overview

About

Maintained by Michael WurmFirst published 2015-11-2220 releasesCRAN page ↗

Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net penalty shrinks it toward the parallel model. For details, refer to Wurm, Hanlon, and Rathouz (2021) doi:10.18637/jss.v099.i06.

Install

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

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

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

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-ordinalnet

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-ordinalNet

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-ordinalNet

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

Health

CRAN checks

13OK

Slowest check: 1.3 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.13

64.6%

Coverage · measured lines

100%

Documentation · exports

2

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 83%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

12.5K

CRAN downloads in the past year

Rank #4,341 · ~34/day · ~1K/mo

Releases R versions

Daily download trend is not available in this view yet.

52430 days

1.8K90 days

12.5K1 year

Compare downloads with other packages →

Also on476 r2u15 autocran780 conda_forge

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (2)

statsgraphics

LinkingTo (0)

none

Suggests (6)

testthatMASSglmnet penalized VGAM rms

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

CondCopulas kosel ordered

Code & Tests

People & History

People (3)

Maintainer (1)

Michael Wurm

Author, Maintainer · added in 1.5

Authors (3)

Michael Wurm

Author, Maintainer · added in 1.5

Bret Hanlon

Author · added in 1.5

Paul Rathouz

Author · added in 2.0

Listed in earlier versions (1)

Mike Wurm

no longer listed · 1.1 to 1.4

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.14Latest
2026-02-13 · current release · diff ↗
2.13
2025-05-15 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
2.12
2022-03-22 · diff ↗
2.11
2022-02-16 · diff ↗
2.10
2021-09-05 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.9
2020-07-21 · diff ↗
2.8
2020-05-25 · diff ↗
R
R 4.0.0 released · 2020-04-24
2.7
2020-01-10 · diff ↗
R
R 3.6.0 released · 2019-04-26

Show 16 earlier events

2.6
2019-02-21 · diff ↗
2.5
2018-09-10 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.4
2017-12-05 · diff ↗
2.3
2017-10-03 · diff ↗
2.2
2017-08-22 · diff ↗
2.1
2017-08-19 · diff ↗
2.0
2017-05-08 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.5
2016-07-27 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.4
2015-12-10 · diff ↗
1.3
2015-11-30 · diff ↗
1.2
2015-11-25 · diff ↗
1.1
2015-11-22
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2015-11-22
Total releases: 20 / 11 yrs
License: MIT + file LICENSE OSI
Download size: 32 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ordinalNet")

Format

Wurm, M., Hanlon, B., & Rathouz, P. (2026). ordinalNet: Penalized Ordinal Regression (Version 2.14) [Computer software]. https://doi.org/10.32614/CRAN.package.ordinalNet

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 ordinalNet version 2.14 [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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