Algorithms for Class Distribution Estimation
Overview
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
NOTERd cross-referencesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Unknown package ‘CORElearn’ in Rd xrefs
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘caret’ ‘randomForest’ All declared Imports should be used.
- NOTE7 OK, 6 NOTENow
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE11 OK, 2 NOTE2026-05-02
- ERROR9 OK, 2 NOTE, 1 ERROR2026-04-25
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 19
- Examples that run
- 100%18 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 89%
Downloads
Repository
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/andregustavom/mlquantify on 2026-10-18.
Dependencies
Installing mlquantify adds 65 packages (36 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.2.0Latest
- RR 4.1.0 released · 2021-05-18
- unarchivedReturned to CRAN2021-04-13
- 0.1.5
- archivedRemoved from CRAN2021-04-06check problems were not corrected in time
- 0.1.42020-09-23
- RR 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
Cite
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