Package: opticut Type: Package Title: Likelihood Based Optimal Partitioning and Indicator Species Analysis Version: 0.1-4 Date: 2025-07-12 Authors@R: c(person(given = "Peter", family = "Solymos", comment = c(ORCID = "0000-0001-7337-1740"), role = c("aut", "cre"), email = "psolymos@gmail.com"), person(given = c("Ermias", "T."), family = "Azeria", comment = c(ORCID = "0000-0002-5269-795X"), role = "ctb")) Maintainer: Peter Solymos Description: 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. URL: https://github.com/psolymos/opticut BugReports: https://github.com/psolymos/opticut/issues Depends: R (>= 3.1.0), pbapply (>= 1.3-0) Imports: MASS, pscl, betareg, ResourceSelection (>= 0.3-2), parallel, mefa4 License: GPL-2 LazyLoad: yes LazyData: true Repository: https://psolymos.r-universe.dev Date/Publication: 2026-04-25 16:08:34 UTC RemoteUrl: https://github.com/psolymos/opticut RemoteRef: HEAD RemoteSha: 0997da39b05b95e6236ac14ec9e0e29d291e698e NeedsCompilation: no Packaged: 2026-07-04 16:23:30 UTC; root Author: Peter Solymos [aut, cre] (ORCID: ), Ermias T. Azeria [ctb] (ORCID: )