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RMSD

0.1.1

Refined Modified Stahel-Donoho Estimators for Outlier Detection

0packages depend
2.3Kdownloads / year
98.4%test coverage
13/13checks pass

Overview

About
Maintained by Kazumi WadaFirst published 2023-11-062 releasesCRAN page ↗

A function for multivariate outlier detection named Modified Stahel-Donoho (MSD) estimators is contained. The function is for elliptically distributed datasets and recognizes outliers based on Mahalanobis distance. The function is called the single core version in Wada & Tsubaki (2013) doi:10.1109/CLOUDCOM-ASIA.2013.86 and evaluated with other methods in Wada, Kawano & Tsubaki (2020) doi:10.17713/ajs.v49i2.872.

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Health

CRAN checks
13OK
Slowest check: 47 s · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.37
98.4%
Coverage · measured lines
100%
Documentation · exports
0
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Documented parameters
100%
Return-value docs
100%
References docs
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Dependencies

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1 external dependency (excludes base and recommended)
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Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2025-10-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    2023-11-06
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-11-06
Total releases
2 / 3 yrs
License
GPL (>= 3) OSI
Download size
4.3 KB
Installed size
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With dependencies
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