ordinalForest

2.4-4

Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables

1packages depend

12.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Roman HornungFirst published 2017-04-1311 releasesCRAN 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.

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).

Health

CRAN checks

13OK

Slowest check: 3.1 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 20%
Documented parameters: 100%
Return-value docs: 50%
References docs: 100%

Downloads

12.5K

CRAN downloads in the past year

Rank #4,410 · ~34/day · ~1K/mo

Releases R versions

Daily download trend is not available in this view yet.

47930 days

2.1K90 days

12.5K1 year

Compare downloads with other packages →

Also on404 r2u22 autocran

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (4)

Rcpp combinatnnetverification

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

ordered

Code & Tests

Code Composition

C++ 6,353 (59%)C 2,198 (20%)R 1,716 (16%)Rd 561 (5%)

Code characteristics

Object systems

S33

Cyclomatic complexity: 1.0 median / 100 max

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

233 5 exported

Complexity

12.1 avg / 100 max

Call network

233 nodes / 148 edges

Call graph

Open call graph →

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Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 1

Name	Class	Rows × Cols	Also ships in
hearth	data.frame	294 × 11	–

People & History

People (1)

Maintainer (1)

Roman Hornung

Author, Maintainer

Authors (1)

Roman Hornung

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
2.4-4Latest
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
2022-11-30 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.4-2
2021-06-25 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.4-1
2020-07-22 · diff ↗
unarchivedReturned to CRAN
2020-07-22
archivedRemoved from CRAN
2020-07-20
with serious memory-access errors
2.4
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
2019-02-06 · diff ↗

Show 8 earlier events

2.3
2019-01-24 · diff ↗
2.2
2018-07-16 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.1
2017-10-20 · diff ↗
2.0
2017-07-26 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0
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
Installed size: not tracked yet
With dependencies: not tracked yet

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