CerioliOutlierDetection
1.1.15Outlier Detection Using the Iterated RMCD Method of Cerioli (2010)
Overview
Implements the iterated RMCD method of Cerioli (2010) for multivariate outlier detection via robust Mahalanobis distances. Also provides the finite-sample RMCD method discussed in the paper, as well as the methods provided in Hardin and Rocke (2005) doi:10.1198/106186005X77685 and Green and Martin (2017) https://christopherggreen.github.io/papers/hr05_extension.pdf. See also Chapter 2 of Green (2017) https://digital.lib.washington.edu/researchworks/handle/1773/40304.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- References docs
- 100%
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Repository
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Dependencies
Code & Tests
- Cyclomatic complexity
- 2.0 median / 8 max
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
9 6 exported
Complexity
2.8 avg / 8 max
Call network
9 nodes / 13 edges
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Open call graph →Lowest coverage
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People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.15Latest
- RR 4.4.0 released · 2024-04-24
- 1.1.132023-10-29 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.1.92017-07-25 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.1.52016-07-08 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
Show 2 earlier events
- 1.0.82014-08-02
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-08-02
- Total releases
- 5 / 12 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 14 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet