dataset1

Dataset built for MVN mixture test, which contains 3 variables and 25 observations.

datasets

MVN distribution

Tools of Bayesian analysis framework using the method
suggested by Berger (1985) <doi:10.1007/978-1-4757-4286-2> for
multivariate normal (MVN) distribution and multivariate normal
mixture (MixMVN) distribution:
a) calculating Bayesian posteriori of (Mix)MVN distribution;
b) generating random vectors of (Mix)MVN distribution;
c) Markov chain Monte Carlo (MCMC) for (Mix)MVN distribution.

ZHANG Chen

MVNBayesian

Bayesian Analysis Framework for MVN (Mixture) Distribution

dataset1 function

A data frame with 25 observations on 3 independent variables, named as <code>fac1</code>, <code>fac2</code> and <code>fac3</code>.<dl class="dl-horizontal">
 <dt><code>fac1</code></dt><dd>The 1st factor.</dd>
 <dt><code>fac2</code></dt><dd>The 2nd factor.</dd>
 <dt><code>fac3</code></dt><dd>The 3rd factor.</dd>
 </dl>

Format

Dataset for MVN test — dataset1

A data frame with 25 observations on 3 independent variables, named as <code>fac1</code>, <code>fac2</code> and <code>fac3</code>.<dl class='dl-horizontal'>
 <dt><code>fac1</code></dt><dd>The 1st factor.</dd>
 <dt><code>fac2</code></dt><dd>The 2nd factor.</dd>
 <dt><code>fac3</code></dt><dd>The 3rd factor.</dd>
 </dl>

dataset1: Dataset for MVN test

Description

Usage

Arguments

Format

Examples