alexkychen/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)
Version1.1.7
URL https://github.com/alexkychen/assignPOP
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("alexkychen/assignPOP")
alexkychen/assignPOP documentation built on Aug. 29, 2019, 10:21 p.m.