Skip to content

Autoencoding Random Forests

0packages depend
1.8Kdownloads / year
74.8%test coverage
13/13flavors OK

Overview

About

Autoencoding Random Forests ('RFAE') provide a method to autoencode mixed-type tabular data using Random Forests ('RF'), which involves projecting the data to a latent feature space of user-chosen dimensionality (usually a lower dimension), and then decoding the latent representations back into the input space. The encoding stage is useful for feature engineering and data visualisation tasks, akin to how principal component analysis ('PCA') is used, and the decoding stage is useful for compression and denoising tasks. At its core, 'RFAE' is a post-processing pipeline on a trained random forest model. This means that it can accept any trained RF of 'ranger' object type: 'RF', 'URF' or 'ARF'. Because of this, it inherits Random Forests' robust performance and capacity to seamlessly handle mixed-type tabular data. For more details, see Vu et al. (2025) doi:10.48550/arXiv.2505.21441.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 242 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNo
Help pages
6
Examples that run
100%4 run in a plain check
Exported functions with examples
60%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%
Vignettes (1)

Downloads

1.8K
CRAN downloads in the past year
Rank #21,210 · ~5/day · ~147/mo
Daily download trend is not available in this view yet.
24330 days
63190 days
1.8K1 year
Compare downloads with other packages →
Also on49 r2u2 autocran

Repository

13Stars
0Forks
0Open issues
0Open PRs
0Releases
43Commits
3Commit identities
43 commits · Last activity 2026-01-28 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2025-10-27 · 22026-07-07 · 13
PracticesBeta

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

Checks run against github.com/bips-hb/rfae on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-01-28 · The repository has a site deploy workflow

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing RFAE adds 67 packages (38 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.4.0
Imports (11)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2026)
Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-01-17 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-17
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.4.0
Download size
53 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RFAE")
Vu, B. D., Kapar, J., Watson, D. S., & Wright, M. N. (2026). RFAE: Autoencoding Random Forests (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.RFAE

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RFAE version 0.1.0 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy