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

Documentation:

Reference manual:

ocomposition.pdf

Downloads:

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

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