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-prerel: ocomposition_1.1.zip, r-release: ocomposition_1.1.zip, r-oldrel: ocomposition_1.1.zip
macOS binaries: r-prerel (arm64): ocomposition_1.1.tgz, r-release (arm64): ocomposition_1.1.tgz, r-oldrel (arm64): ocomposition_1.1.tgz, r-prerel (x86_64): ocomposition_1.1.tgz, r-release (x86_64): ocomposition_1.1.tgz
Old sources: ocomposition archive


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