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.

Getting started

Package details

AuthorArturas Rozenas, New York University
MaintainerArturas Rozenas <ar199@nyu.edu>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the ocomposition package in your browser

Any scripts or data that you put into this service are public.

ocomposition documentation built on May 2, 2019, 3:30 p.m.