DESCRIPTION

Package: assignPOP
Type: Package
Title: Population Assignment using Genetic, Non-Genetic or Integrated Data in a
    Machine Learning Framework
Version: 1.3.0
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,
    rlang,
Suggests:
    gtable,
    iterators,
    klaR,
    stringi,
    knitr,
    rmarkdown,
    testthat
License: GPL (>= 2)
RoxygenNote: 7.3.1
Encoding: UTF-8