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noisemodel

1.0.2

Noise Models for Classification Datasets

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2.5Kdownloads / year
96.8%test coverage
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Overview

About
Maintained by José A. SáezFirst published 2022-10-171 releasesCRAN page ↗

Implementation of models for the controlled introduction of errors in classification datasets. This package contains the noise models described in Saez (2022) doi:10.3390/math10203736 that allow corrupting class labels, attributes and both simultaneously.

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Slowest check: 7.0 min · r-devel-linux-x86_64-fedora-clang
Check history
  • NOTE2026-06-09
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  • ERROR2026-04-25
    0 OK · 11 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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noisemodel
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Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-10-17
Total releases
1 / 4 yrs
License
GPL (>= 3) OSI
Download size
118 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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