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.
Version: 1.3.0 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 Published: 2024-03-13 DOI: 10.32614/CRAN.package.assignPOP 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 at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/alexkychen/assignPOP NeedsCompilation: no CRAN checks: assignPOP results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=assignPOP to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4