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]
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 22 Dec. 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)
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
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  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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