assignPOP: 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.

Getting started

Package details

AuthorKuan-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]
MaintainerKuan-Yu (Alex) Chen <[email protected]>
LicenseGPL (>= 2)
Version1.1.4
URL https://github.com/alexkychen/assignPOP http://alexkychen.github.io/assignPOP/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("assignPOP")

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assignPOP documentation built on March 18, 2018, 1:22 p.m.