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MMD  

Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection
View on CRAN: Click here


Download and install MMD package within the R console
Install from CRAN:
install.packages("MMD")

Install from Github:
library("remotes")
install_github("cran/MMD")

Install by package version:
library("remotes")
install_version("MMD", "1.0.0")



Attach the package and use:
library("MMD")
Maintained by
Francisco Perez-Reche
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-26
Latest Update: 2021-01-26
Description:
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) . See more details and examples in the README file.
How to cite:
Francisco Perez-Reche (2021). MMD: Minimal Multilocus Distance (MMD) for Source Attribution and Loci Selection. R package version 1.0.0, https://cran.r-project.org/web/packages/MMD. Accessed 01 Feb. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited MMD R package
View MMD citation profile
Other R packages that MMD depends, imports, suggests or enhances
Complete documentation for MMD
Functions, R codes and Examples using the MMD R package
Some associated functions: MMD_Entropy . MMD_Rn . MMD_attr . 
Some associated R codes: MMD_Entropy.R . MMD_Rn.R . MMD_attr.R .  Full MMD package functions and examples
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