Use Monte-Carlo and K-fold cross-validation coupled with machine- learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.
| Version: | 1.3.1 |
| Depends: | R (≥ 2.3.2) |
| Imports: | caret,doParallel,e1071,foreach,ggplot2,MASS, parallel,randomForest,reshape2,stringr,tree,rlang |
| Suggests: | gtable,iterators,klaR,stringi,knitr,rmarkdown,testthat |
| Published: | 2025-09-12 |
| DOI: | 10.32614/CRAN.package.assignPOP |
| Author: | Kuan-Yu (Alex) Chen [aut, cre], Elizabeth A. Marschall [aut], Michael G. Sovic [aut], Anthony C. Fries [aut], H. Lisle Gibbs [aut], Stuart A. Ludsin [aut] |
| Maintainer: | Kuan-Yu (Alex) Chen <alexkychen at gmail.com> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/alexkychen/assignPOP |
| NeedsCompilation: | no |
| CRAN checks: | assignPOP results |