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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "opticut" in publications use:'
type: software
license: GPL-2.0-only
title: 'opticut: Likelihood Based Optimal Partitioning and Indicator Species Analysis'
version: 0.1-3
doi: 10.32614/CRAN.package.opticut
abstract: 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) <https://doi.org/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.
authors:
- family-names: Solymos
  given-names: Peter
  email: psolymos@gmail.com
  orcid: https://orcid.org/0000-0001-7337-1740
repository: https://psolymos.r-universe.dev
repository-code: https://github.com/psolymos/opticut
commit: 5e8e4fe774148d56fe151fd9e2c22eeaa83be4af
url: https://github.com/psolymos/opticut
date-released: '2024-05-21'
contact:
- family-names: Solymos
  given-names: Peter
  email: psolymos@gmail.com
  orcid: https://orcid.org/0000-0001-7337-1740