opticut: Likelihood Based Optimal Partitioning and Indicator Species Analysis
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.
| Version: | 0.1-4 |
| Depends: | R (≥ 3.1.0), pbapply (≥ 1.3-0) |
| Imports: | MASS, pscl, betareg, ResourceSelection (≥ 0.3-2), parallel, mefa4 |
| Published: | 2025-07-13 |
| DOI: | 10.32614/CRAN.package.opticut |
| Author: | Peter Solymos 
[aut, cre],
Ermias T. Azeria
[ctb] |
| Maintainer: | Peter Solymos <psolymos at gmail.com> |
| BugReports: | https://github.com/psolymos/opticut/issues |
| License: | GPL-2 |
| URL: | https://github.com/psolymos/opticut |
| NeedsCompilation: | no |
| CRAN checks: | opticut results |
Documentation:
| Reference manual: | opticut.html , opticut.pdf |
Downloads:
| Package source: | opticut_0.1-4.tar.gz |
| Windows binaries: | r-devel: opticut_0.1-4.zip, r-release: opticut_0.1-4.zip, r-oldrel: opticut_0.1-4.zip |
| macOS binaries: | r-release (arm64): opticut_0.1-4.tgz, r-oldrel (arm64): opticut_0.1-4.tgz, r-release (x86_64): opticut_0.1-4.tgz, r-oldrel (x86_64): opticut_0.1-4.tgz |
| Old sources: | opticut archive |
Linking:
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