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ONAM

1.1.0

Fitting Interpretable Neural Additive Models Using Orthogonalization

0packages depend
4.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by David KöhlerFirst published 2025-11-113 releasesCRAN page ↗GitHub ↗

An algorithm for fitting interpretable additive neural networks for identifiable and visualizable feature effects using post hoc orthogonalization. Fit custom neural networks intuitively using established 'R' 'formula' notation, including interaction effects of arbitrary order while preserving identifiability to enable a functional decomposition of the prediction function. For more details see Koehler et al. (2025) doi:10.1038/s44387-025-00033-7.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.23
not tracked
Coverage
100%
Documentation · exports
7
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

Documentation
READMEYes · 215 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Downloads

4.3K
CRAN downloads in the past year
Rank #11,189 · ~12/day · ~359/mo
Daily download trend is not available in this view yet.
17730 days
88490 days
4.3K1 year
Compare downloads with other packages →
Also on64 r2u15 autocran

Repository

Repository
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0Releases
deep-learninginterpretable-machine-learningmachine-learningstatistical-learning
Last activity 2026-08-24

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/koehlibert/onam_r on 2026-08-23.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • 1.1.0Latest
    2026-08-24 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1
    2026-01-26 · diff ↗
  • 1.0.0
    2025-11-11
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-11
Total releases
3 / 1 yrs
License
MIT + file LICENSE OSI
Download size
29 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ONAM")
Köhler, D. (2026). ONAM: Fitting Interpretable Neural Additive Models Using Orthogonalization (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ONAM

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ONAM version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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