Package: assignPOP
Type: Package
Title: Population Assignment using Genetic, Non-Genetic or Integrated
        Data in a Machine Learning Framework
Version: 1.3.1
Authors@R: c(person(given = c("Kuan-Yu","(Alex)"), family = "Chen", email = "alexkychen@gmail.com", role = c("aut", "cre")),
             person(given = c("Elizabeth", "A."), family = "Marschall",role = "aut"),
               person(given = c("Michael", "G."),family = "Sovic",role = "aut"),
               person(given = c("Anthony", "C."),family = "Fries", role = "aut"),
               person(given = c("H.", "Lisle"), family = "Gibbs",role = "aut"),
               person(given = c("Stuart", "A."), family = "Ludsin", role = "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: 7.3.3
Encoding: UTF-8
Config/pak/sysreqs: libicu-dev
Repository: https://alexkychen.r-universe.dev
Date/Publication: 2025-09-12 17:37:41 UTC
RemoteUrl: https://github.com/alexkychen/assignpop
RemoteRef: HEAD
RemoteSha: b1d6ec604274a838591eeb33abc527f64059a228
NeedsCompilation: no
Packaged: 2026-10-07 10:30:39 UTC; root
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]