summary.composition

MCMC output list member of class <code>composition</code>, generated by call to <code>fitcomp</code>.

object

Integer from 1 to the number of components in data. Outputs summary for that component; if <code>NULL</code>, then outputs summaries of the hyperparameters.

individual


Summarizes the basic properties of the MCMC output: means, standard deviations, MCMC errors, and Heidel convergence diagnostics.


 ~kwd1 

 ~kwd2 

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.

summary.composition: Summary function

Description

Usage

Arguments