assignPOP (1.1.6)

Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework.

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.

Maintainer: Kuan-Yu Alex Chen
Author(s): 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]

License: GPL (>= 2)

Uses: caret, doParallel, e1071, foreach, ggplot2, MASS, randomForest, reshape2, stringr, tree, klaR, iterators, testthat, knitr, gtable, stringi, rmarkdown

Released 9 months ago.