Regression model where the response variable is a rank-indexed compositional vector (non-negative values that sum up to one and are ordered from the largest to the smallest). Parameters are estimated in the Bayesian framework using MCMC methods.
| Version: | 1.1 |
| Depends: | R (≥ 3.2.1), coda, bayesm |
| Published: | 2015-08-10 |
| Author: | Arturas Rozenas, New York University |
| Maintainer: | Arturas Rozenas <ar199 at nyu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | ocomposition results |
| Reference manual: | ocomposition.pdf |
| Package source: | ocomposition_1.1.tar.gz |
| Windows binaries: | r-devel: ocomposition_1.1.zip, r-release: ocomposition_1.1.zip, r-oldrel: ocomposition_1.1.zip |
| macOS binaries: | r-release: ocomposition_1.1.tgz, r-oldrel: ocomposition_1.1.tgz |
| Old sources: | ocomposition archive |
Please use the canonical form https://CRAN.R-project.org/package=ocomposition to link to this page.