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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 …
A repository for R code, data, figures, scripts from the manuscript "Abundance-occupancy relationships along taxonomic ranks reveal a consistency of niche differentiation in bacterioplankton with distinct lifestyles" (Submitted).