psolymos/opticut: Likelihood Based Optimal Partitioning and Indicator Species Analysis
Version 0.1-2

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) . The package implements binary and multi-level response models, various measures of uncertainty, Lorenz-curve based thresholding, with native support for parallel computations.

Getting started

Package details

AuthorPeter Solymos [cre, aut], Ermias T. Azeria [ctb]
MaintainerPeter Solymos <[email protected]>
LicenseGPL-2
Version0.1-2
URL https://github.com/psolymos/opticut
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("psolymos/opticut")
psolymos/opticut documentation built on April 29, 2018, 10:17 a.m.