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.

3.00 score 3 scripts 125 downloads 18 mentions 3 exports 10 dependencies

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

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winNOTENov 21 2024
R-4.5-linuxNOTENov 21 2024
R-4.4-winNOTENov 21 2024
R-4.4-macNOTENov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:MMD_attrMMD_EntropyMMD_Rn

Dependencies:BHbigmemorybigmemory.sriclasse1071MASSplyrproxyRcppuuid

Tutorial for the R MMD package

Rendered fromREADME.Rmdusingknitr::rmarkdownon Nov 21 2024.

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