p6_mvn

p6_mvn_1

p6_mvn_2

p6_mvn_3

Multivariate continuous data, generated as five clusters of independent variables with different
 means.

datasets

Markov chain Monte Carlo samplers for posterior simulations of conjugate Bayesian nonparametric
mixture models. Functionality is provided for Gibbs sampling as in Algorithm 3 of Neal (2000)
<DOI:10.1080/10618600.2000.10474879>, restricted Gibbs merge-split sampling as described in Jain & Neal
(2004) <DOI:10.1198/1061860043001>, and sequentially-allocated merge-split sampling <DOI:10.1080/00949655.2021.1998502>, as well as
summary and utility functions.

David B Dahl

sams

Merge-Split Samplers for Conjugate Bayesian Nonparametric Models

Spencer Newcomb

David B. Dahl

p6_mvn function

An object of class <code>matrix</code> (inherits from <code>array</code>) with 100 rows and 6 columns.
An object of class <code>matrix</code> (inherits from <code>array</code>) with 100 rows and 6 columns.
An object of class <code>matrix</code> (inherits from <code>array</code>) with 100 rows and 6 columns.

Format

Independent Multivariate Normal Data (p = 6) — p6_mvn

Independent Multivariate Normal Data (p = 6)

p6_mvn: Independent Multivariate Normal Data (p = 6)

Description

Usage

Arguments

Format