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assignPOP  

Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework
View on CRAN: Click here


Download and install assignPOP package within the R console
Install from CRAN:
install.packages("assignPOP")

Install from Github:
library("remotes")
install_github("cran/assignPOP")

Install by package version:
library("remotes")
install_version("assignPOP", "1.3.0")



Attach the package and use:
library("assignPOP")
Maintained by
Kuan-Yu (Alex) Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-29
Latest Update: 2021-10-27
Description:
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.
How to cite:
Kuan-Yu (Alex) Chen (2016). assignPOP: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework. R package version 1.3.0, https://cran.r-project.org/web/packages/assignPOP. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.1.1 (2016-12-29 11:52), 1.1.2 (2017-05-16 06:39), 1.1.3 (2017-06-15 16:48), 1.1.4 (2018-03-13 05:22), 1.1.6 (2019-06-09 06:10), 1.1.7 (2019-08-28 22:50), 1.1.8 (2020-03-02 18:00), 1.1.9 (2020-03-16 15:30), 1.2.0 (2020-07-25 23:30), 1.2.1 (2020-11-03 23:10), 1.2.2 (2020-11-17 09:20), 1.2.4 (2021-10-27 21:30)
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