alexkychen/assignPOP: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
Version 1.1.3

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)
Version1.1.3
URL https://github.com/alexkychen/assignPOP http://alexkychen.github.io/assignPOP/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("alexkychen/assignPOP")
alexkychen/assignPOP documentation built on Aug. 16, 2017, 3:37 a.m.