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outForest

1.0.1Package record

Multivariate Outlier Detection and Replacement

0packages depend
3Kdownloads / year
93.2%test coverage
13/13flavors OK

Overview

About

Provides a random forest based implementation of the method described in Chapter 7.1.2 (Regression model based anomaly detection) of Chandola et al. (2009) doi:10.1145/1541880.1541882. It works as follows: Each numeric variable is regressed onto all other variables by a random forest. If the scaled absolute difference between observed value and out-of-bag prediction of the corresponding random forest is suspiciously large, then a value is considered an outlier. The package offers different options to replace such outliers, e.g. by realistic values found via predictive mean matching. Once the method is trained on a reference data, it can be applied to new data.

Changes in 1.0.1
  • Use latex formulas in help files.
  • Improved documentation.
  • Fixed typos.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 190 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.1Citation fileNo
Help pages
9
Examples that run
100%9 run in a plain check
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
11%
Vignettes (1)

Downloads

3K
CRAN downloads in the past year
Rank #12,586 · ~8/day · ~250/mo
Daily download trend is not available in this view yet.
39930 days
89190 days
3K1 year
Compare downloads with other packages →
Also on86 r2u3 autocran

Repository

14Stars
2Forks
1Open issues
0Open PRs
5Releases
86Commits
1Commit identities
machine-learningoutlieroutlier-analysisoutlier-detectionrandom-forestrstats
License file reads as GPL-2.0 · 86 commits · Last activity 2025-04-06 · 0% stars, 30d · Default branch at 1.0.2, ahead of CRAN 1.0.1 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
17
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-08-08 · 132026-07-07 · 14
PracticesBeta

8 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/mayer79/outforest on 2026-10-18.

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 (2)

GitHub Pages site last deployed 2025-04-06 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing outForest adds 5 packages (4 with compiled code, 3.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, ranger 175 KB.

Depends (1)
R >= 3.5.0
Imports (5)
FNNrangergraphicsstatsmissRanger
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1.0 (2020)
Releases (6)

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
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1Latest
    record
    2023-05-21 · current release · diff ↗
  • 1.0.0
    record
    2023-04-25 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.3
    record
    2023-03-30 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.2
    record
    2022-01-31 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.1
    record
    2021-01-07 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0
    record
    2020-01-13
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-01-13
Total releases
6 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
85 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("outForest")
Mayer, M. (2023). outForest: Multivariate Outlier Detection and Replacement (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.outForest

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 outForest version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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