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dapc
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DA incorporates the commonly used linear and non-linear, local and global supervised learning approaches (discriminant analysis). These discriminant analyses can be used to do ecological and evolutionary inference. We show the examples of demographic history inference, species identification, and population structure inference in the vignettes …
kernel
principal-components
ecological
discriminant-analysis
kernel-principle-components
dapc
kernel-local
population-structure-inference
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Updated
Jul 11, 2021 - R
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