ocomposition: Regression for Rank-Indexed Compositional Data

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: not available
OS X Snow Leopard binaries: r-release: ocomposition_1.1.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: not available
Old sources: ocomposition archive