Package: MMD 1.0.0

MMD: Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection

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.

Authors:Francisco Perez-Reche [aut, cre]

MMD_1.0.0.tar.gz
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MMD.pdf |MMD.html
MMD/json (API)

# Install 'MMD' in R:
install.packages('MMD', repos = c('https://fjpreche.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 3.03 score 10 dependencies 18 mentions 3 scripts 137 downloads

Last updated 4 years agofrom:f083921bc2. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winNOTEAug 22 2024
R-4.5-linuxNOTEAug 22 2024
R-4.4-winNOTEAug 22 2024
R-4.4-macNOTEAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:MMD_attrMMD_EntropyMMD_Rn

Dependencies:BHbigmemorybigmemory.sriclasse1071MASSplyrproxyRcppuuid

Tutorial for the R MMD package

Rendered fromREADME.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2021-01-26
Started: 2021-01-26