Likelihood based optimal partitioning and indicator species analysis. Finding the best binary partition for each species based on model selection, with the possibility to take into account modifying/confounding variables as described in Kemencei et al. (2014) <doi:10.1556/ComEc.15.2014.2.6>. The package implements binary and multi-level response models, various measures of uncertainty, Lorenz-curve based thresholding, with native support for parallel computations.
|Author||Peter Solymos [cre, aut], Ermias T. Azeria [ctb]|
|Maintainer||Peter Solymos <[email protected]>|
|Package repository||View on GitHub|
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