Likelihood based optimal partitioning for indicator species analysis. Finding the best binary partition for each species based on model selection, possibly controlling for modifying/confounding variables as described in Kemencei et al. (2014) <doi:10.1556/ComEc.15.2014.2.6>. The package also implements various measures of uncertainty based on binary partitions, optimal multinomial partitioning, and exploratory suitability indices, with native support for parallel computations.
| Version: | 0.1-0 |
| Depends: | R (≥ 3.1.0), pbapply (≥ 1.3-0) |
| Imports: | MASS, pscl, betareg, ResourceSelection (≥ 0.3-0), parallel, mefa4 |
| Published: | 2016-12-17 |
| 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_0.1-0.tar.gz |
| Windows binaries: | r-devel: opticut_0.1-0.zip, r-release: opticut_0.1-0.zip, r-oldrel: opticut_0.1-0.zip |
| OS X El Capitan binaries: | r-release: opticut_0.1-0.tgz |
| OS X Mavericks binaries: | r-oldrel: opticut_0.1-0.tgz |
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