summary.nmix

Printing of various information from <code>nmix</code> object on current output

A program for Bayesian analysis of univariate normal mixtures with an unknown number
of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>.
This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping
between the parameter sub-spaces corresponding to different numbers of components in the mixture.
A sample from the full joint distribution of all unknown variables is thereby generated,
and this can be used as a basis for a thorough presentation of many aspects of the posterior
distribution.

Peter Green

Nmix

Bayesian Inference on Univariate Normal Mixtures

summary.nmix function

<dl> <dt>object</dt>
<dd><code>nmix</code> object, as output by <code>Nmix</code> function</dd> <dt>...</dt>
<dd>additional arguments to <code><a href="/link/summary?package=Nmix&version=2.0.5" data-mini-rdoc="Nmix::summary">summary</a></code></dd></dl>

Arguments

Author

Summary for Bayesian Inference on Univariate Normal Mixtures — summary.nmix

<dl>

 <dt>object</dt>
<dd><code>nmix</code> object, as output by <code>Nmix</code> function</dd>

 <dt>...</dt>
<dd>additional arguments to <code><a href='https://rdrr.io/r/base/summary.html'>summary</a></code></dd>

</dl>

summary.nmix: Summary for Bayesian Inference on Univariate Normal Mixtures

Description

Usage

Value

Arguments

Author

Details

References

Examples