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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.
| Version: | 1.0.0 |
| Imports: | e1071, plyr, bigmemory |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-01-26 |
| Author: | Francisco Perez-Reche [aut, cre] |
| Maintainer: | Francisco Perez-Reche <fperez-reche at abdn.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MMD results |
| Reference manual: | MMD.pdf |
| Vignettes: |
Tutorial for the R MMD package |
| Package source: | MMD_1.0.0.tar.gz |
| Windows binaries: | r-devel: MMD_1.0.0.zip, r-release: MMD_1.0.0.zip, r-oldrel: MMD_1.0.0.zip |
| macOS binaries: | r-release (arm64): MMD_1.0.0.tgz, r-oldrel (arm64): MMD_1.0.0.tgz, r-release (x86_64): MMD_1.0.0.tgz, r-oldrel (x86_64): MMD_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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