The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | assignPOP.pdf |
| Package source: | assignPOP_1.3.0.tar.gz |
| Windows binaries: | r-devel: assignPOP_1.3.0.zip, r-release: assignPOP_1.3.0.zip, r-oldrel: assignPOP_1.3.0.zip |
| macOS binaries: | r-release (arm64): assignPOP_1.3.0.tgz, r-oldrel (arm64): assignPOP_1.3.0.tgz, r-release (x86_64): assignPOP_1.3.0.tgz, r-oldrel (x86_64): assignPOP_1.3.0.tgz |
| Old sources: | assignPOP archive |
Please use the canonical form https://CRAN.R-project.org/package=assignPOP to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.