ocomposition: Regression for Rank-Indexed Compositional Data
Version 1.1

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.

Getting started

Package details

AuthorArturas Rozenas, New York University
Date of publication2015-08-10 09:09:58
MaintainerArturas Rozenas <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ocomposition documentation built on May 30, 2017, 6:48 a.m.