R Observatory: Metrics for ordinalForest version 2.4-4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ordinalForest

2.4-4Package record

Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables

0packages dependsuggested by 1

9.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Roman HornungCRAN page ↗

The ordinal forest (OF) method allows ordinal regression with high-dimensional and low-dimensional data. After having constructed an OF prediction rule using a training dataset, it can be used to predict the values of the ordinal target variable for new observations. Moreover, by means of the (permutation-based) variable importance measure of OF, it is also possible to rank the covariates with respect to their importance in the prediction of the values of the ordinal target variable. OF is presented in Hornung (2020). NOTE: Starting with package version 2.4, it is also possible to obtain class probability predictions in addition to the class point predictions. Moreover, the variable importance values can also be based on the class probability predictions. Preliminary results indicate that this might lead to a better discrimination between influential and non-influential covariates. The main functions of the package are: ordfor() (construction of OF) and predict.ordfor() (prediction of the target variable values of new observations). References: Hornung R. (2020) Ordinal Forests. Journal of Classification 37, 4–17. doi:10.1007/s00357-018-9302-x.

Install

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

install.packages("ordinalForest", 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-ordinalforest

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-ordinalForest

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-ordinalForest

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: 3.9 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.4-4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5includes a package overview page
Examples that run: 20%1 run in a plain check · 4 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 50%
Help pages citing references: 100%

How these are measured

Downloads

9.7K

CRAN downloads in the past year

Rank #5,276 · ~27/day · ~807/mo

Releases R versions

Daily download trend is not available in this view yet.

52530 days

1.6K90 days

9.7K1 year

Compare downloads with other packages →

Also on345 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing ordinalForest adds 12 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, maps 2.2 MB.

Depends (0)

none

Imports (4)

Rcpp combinatnnetverification

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

ordered

How these are counted

Code & Tests

Datasets

People & History

People (1)

Roman Hornung

Author, Maintainer since 1.0 (2017)

Releases (11)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
2.4-4Latest
record
2024-10-29 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
2.4-3
record
2022-11-30 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.4-2
record
2021-06-25 · diff ↗
R
R 4.1.0 released · 2021-05-18
unarchivedReturned to CRAN
2020-07-22
2.4-1
record
2020-07-22 · diff ↗
archivedRemoved from CRAN
2020-07-20
with serious memory-access errors
2.4
record
2020-07-13 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
2.3-1
record
2019-02-06 · diff ↗

Show 8 earlier eventsHide 8 earlier events

2.3
record
2019-01-24 · diff ↗
2.2
record
2018-07-16 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.1
record
2017-10-20 · diff ↗ ·
removed 4 exports
perfm_custom, perfm_equal, perfm_irrespective, perfm_onecateg

added 4 exports
perff_custom, perff_equal, perff_oneclass, perff_proportional
2.0
record
2017-07-26 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0
record
2017-04-13
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-04-13
Total releases: 11 / 9 yrs
License: GPL-2 OSI
Bundled data: 3.7 KB / 1 file
Download size: 85 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ordinalForest")

Format

Hornung, R. (2024). ordinalForest: Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables (Version 2.4-4) [Computer software]. https://doi.org/10.32614/CRAN.package.ordinalForest

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 ordinalForest version 2.4-4 [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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