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mlquantify

0.2.0

Algorithms for Class Distribution Estimation

0packages depend
2.3Kdownloads / year
test coverage
7/13checks pass

Overview

About
Maintained by Andre MaletzkeFirst published 2020-09-233 releasesCRAN page ↗GitHub ↗

Quantification is a prominent machine learning task that has received an increasing amount of attention in the last years. The objective is to predict the class distribution of a data sample. This package is a collection of machine learning algorithms for class distribution estimation. This package include algorithms from different paradigms of quantification. These methods are described in the paper: A. Maletzke, W. Hassan, D. dos Reis, and G. Batista. The importance of the test set size in quantification assessment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020. doi:10.24963/ijcai.2020/366.

Install

Health

CRAN checks
6NOTE7OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
Slowest check: 1.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-05-02
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-25
    9 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,047 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
89%

Downloads

2.3K
CRAN downloads in the past year
Rank #19,068 · ~6/day · ~191/mo
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17230 days
62790 days
2.3K1 year
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Repository

Repository
7Stars
1Forks
0Open issues
0Open PRs
0Releases
16Commits
1Contributors
16 commits · Last activity 2022-01-20

Stars over time

2025-01-25 · 72026-07-07 · 7

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/andregustavom/mlquantify on 2026-07-19.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (4)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor
Contributor
Other (1)
Thesis advisor
Package Timeline

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

  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.0Latest
    2022-01-20 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.5
    2021-04-13 · diff ↗
  • unarchivedReturned to CRAN
    2021-04-13
  • archivedRemoved from CRAN
    2021-04-06
    check problems were not corrected in time
  • 0.1.4
    2020-09-23
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-09-23
Total releases
3 / 6 yrs
License
GPL (>= 2.0)
Bundled data
83 KB / 1 file
Download size
105 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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