CRAN/E | DA

DA

Discriminant Analysis for Evolutionary Inference

Installation

About

Discriminant Analysis (DA) for evolutionary inference (Qin, X. et al, 2020, doi:10.22541/au.159256808.83862168), especially for population genetic structure and community structure inference. This package incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis), including Linear Discriminant Analysis of Kernel Principal Components (LDAKPC), Local (Fisher) Linear Discriminant Analysis (LFDA), Local (Fisher) Discriminant Analysis of Kernel Principal Components (LFDAKPC) and Kernel Local (Fisher) Discriminant Analysis (KLFDA). These discriminant analyses can be used to do ecological and evolutionary inference, including demography inference, species identification, and population/community structure inference.

xinghuq.github.io/DA/index.html
System requirements GNU make
Bug report File report

Key Metrics

Version 1.2.0
R ≥ 3.5
Published 2021-07-12 1010 days ago
Needs compilation? no
License GPL-3
CRAN checks DA results

Downloads

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Maintainer

Maintainer

Xinghu Qin

qinxinghu@gmail.com

Authors

Xinghu Qin

aut / cre / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Instruction for Package DA

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.5

Imports

adegenet
lfda
MASS
kernlab
klaR
plotly
rARPACK
grDevices
stats
utils

Suggests

knitr
testthat
rmarkdown