CRAN/E | assignPOP

assignPOP

Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework

Installation

About

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.

github.com/alexkychen/assignPOP

Key Metrics

Version 1.3.0
R ≥ 2.3.2
Published 2024-03-13 187 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks assignPOP results

Downloads

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Maintainer

Maintainer

Kuan-Yu (Alex) Chen

Authors

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

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

assignPOP archive

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
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