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  "Title": "Likelihood Based Optimal Partitioning and Indicator Species\nAnalysis",
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  "Date": "2025-07-12",
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  "Description": "Likelihood based optimal partitioning and indicator\nspecies analysis. Finding the best binary partition for each\nspecies based on model selection, with the possibility to take\ninto account modifying/confounding variables as described in\nKemencei et al. (2014) <doi:10.1556/ComEc.15.2014.2.6>. The\npackage implements binary and multi-level response models,\nvarious measures of uncertainty, Lorenz-curve based\nthresholding, with native support for parallel computations.",
  "URL": "https://github.com/psolymos/opticut",
  "BugReports": "https://github.com/psolymos/opticut/issues",
  "License": "GPL-2",
  "LazyLoad": "yes",
  "LazyData": "true",
  "Repository": "https://psolymos.r-universe.dev",
  "Date/Publication": "2026-04-25 16:08:34 UTC",
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