Package: assignPOP
Type: Package
Title: Population Assignment using Genetic, Non-Genetic or Integrated
        Data in a Machine Learning Framework
Version: 1.1.2
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@gmail.com>
Description: 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.  
URL: https://github.com/alexkychen/assignPOP,
        http://alexkychen.github.io/assignPOP/
Depends: R (>= 2.3.2)
Imports: caret, doParallel, e1071, foreach, ggplot2, MASS, parallel,
        randomForest, reshape2, stringr, tree,
Suggests: gtable, iterators, klaR, stringi, knitr, rmarkdown
License: GPL (>= 2)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-16 02:03:11 UTC; alexmpb
Repository: CRAN
Date/Publication: 2017-05-16 04:39:49 UTC
