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 <psolymos@gmail.com>
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) <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.
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
NeedsCompilation: no
Packaged: 2025-07-13 22:17:19 UTC; Peter
Author: Peter Solymos [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7337-1740>),
  Ermias T. Azeria [ctb] (ORCID: <https://orcid.org/0000-0002-5269-795X>)
Repository: CRAN
Date/Publication: 2025-07-13 22:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:28:00 UTC; unix
