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DA  

Discriminant Analysis for Evolutionary Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DA", "1.2.0")



Attach the package and use:
library("DA")
Maintained by
Xinghu Qin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-12
Latest Update: 2021-07-12
Description:
Discriminant Analysis (DA) for evolutionary inference (Qin, X. et al, 2020, ), 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.
How to cite:
Xinghu Qin (2021). DA: Discriminant Analysis for Evolutionary Inference. R package version 1.2.0, https://cran.r-project.org/web/packages/DA. Accessed 08 Oct. 2026.
Previous versions and publish date:
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View DA citation profile
Other R packages that DA depends, imports, suggests or enhances
Complete documentation for DA
Functions, R codes and Examples using the DA R package
Some associated functions: KLFDA . KLFDAM . KLFDA_mk . LDAKPC . LFDA . LFDAKPC . Mabayes . kmatrixGauss . predict_S3 . 
Some associated R codes: KLFDA.R . KLFDA_mk.R . LDAKPC.R . LFDA.R . LFDAKPC.R . Mabayes.R . predict.R .  Full DA package functions and examples
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