Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection
Overview
The aim of the package is two-fold: (i) To implement the MMD method for attribution of individuals to sources using the Hamming distance between multilocus genotypes. (ii) To select informative genetic markers based on information theory concepts (entropy, mutual information and redundancy). The package implements the functions introduced by Perez-Reche, F. J., Rotariu, O., Lopes, B. S., Forbes, K. J. and Strachan, N. J. C. Mining whole genome sequence data to efficiently attribute individuals to source populations. Scientific Reports 10, 12124 (2020) doi:10.1038/s41598-020-68740-6. See more details and examples in the README file.
Install
Health
NOTERd filesr-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-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) MMD_attr.Rd:62: Lost braces; missing escapes or markup?
62 | \item Probability of attribution of each unknown individual to each source $p_{u,s}$
| ^- NOTE13 NOTE2026-09-08
- ERROR12 NOTE, 1 ERROR2026-09-07
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
- 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
- RR 4.1.0 released · 2021-05-18
- 1.0.0Latest2021-01-26 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-01-26
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 39 KB
Cite
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Run in R for the authors' preferred citation:
citation("MMD")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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