Package: assignPOP
Type: Package
Title: Population Assignment using Genetic, Non-Genetic or Integrated
        Data in a Machine Learning Framework
Version: 1.2.4
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
Depends: R (>= 2.3.2)
Imports: caret, doParallel, e1071, foreach, ggplot2, MASS, parallel,
        randomForest, reshape2, stringr, tree,
Suggests: gtable, iterators, klaR, stringi, knitr, rmarkdown, testthat
License: GPL (>= 2)
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-10-27 19:14:13 UTC; kchen
Repository: CRAN
Date/Publication: 2021-10-27 19:30:02 UTC
Built: R 4.0.2; ; 2021-10-28 11:29:07 UTC; unix
