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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: | 0.1-2 |
| Depends: | R (≥ 3.1.0), pbapply (≥ 1.3-0) |
| Imports: | MASS, pscl, betareg, ResourceSelection (≥ 0.3-2), parallel, mefa4 |
| Published: | 2018-02-01 |
| Author: | Peter Solymos [cre, aut], Ermias T. Azeria [ctb] |
| Maintainer: | Peter Solymos <solymos at ualberta.ca> |
| BugReports: | https://github.com/psolymos/opticut/issues |
| License: | GPL-2 |
| URL: | https://github.com/psolymos/opticut |
| NeedsCompilation: | no |
| CRAN checks: | opticut results |
| Reference manual: | opticut.pdf |
| Package source: | opticut_0.1-2.tar.gz |
| Windows binaries: | r-devel: opticut_0.1-2.zip, r-release: opticut_0.1-2.zip, r-oldrel: opticut_0.1-2.zip |
| macOS binaries: | r-release (arm64): opticut_0.1-2.tgz, r-oldrel (arm64): opticut_0.1-2.tgz, r-release (x86_64): opticut_0.1-2.tgz, r-oldrel (x86_64): opticut_0.1-2.tgz |
| Old sources: | opticut archive |
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