Other packages > Find by keyword >

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]
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 04 Apr. 2025.
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)
Other packages that cited assignPOP R package
View assignPOP citation profile
Other R packages that assignPOP depends, imports, suggests or enhances
Complete documentation for assignPOP
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/02Downloads for assignPOP510152025303540TrendBars

Today's Hot Picks in Authors and Packages

perryExamples  
Examples for Integrating Prediction Error Estimation into Regression Models
Examples for integrating package 'perry' for prediction error estimation into regression models. ...
Download / Learn more Package Citations See dependency  
metaprotr  
Metaproteomics Post-Processing Analysis
Set of tools for descriptive analysis of metaproteomics data generated from high-throughput mass ...
Download / Learn more Package Citations See dependency  
PakPMICS2014HH  
Multiple Indicator Cluster Survey (MICS) 2014 Household Questionnaire Data for Punjab, Pakistan
Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2014 Hous ...
Download / Learn more Package Citations See dependency  
Rexperigen  
R Interface to Experigen
Provides convenience functions to communicate with an Experigen server: Experigen ( ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
GeDS  
Geometrically Designed Spline Regression
Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geo ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA