p18_corr_mvn

p18_corr_mvn_1

p18_corr_mvn_2

p18_corr_mvn_3

Multivariate continuous data, generated as five clusters with an AR(1) correlation structure
 determining the common covariance matrix for each observation.

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

p18_corr_mvn function

An object of class <code>matrix</code> (inherits from <code>array</code>) with 100 rows and 18 columns.
An object of class <code>matrix</code> (inherits from <code>array</code>) with 100 rows and 18 columns.
An object of class <code>matrix</code> (inherits from <code>array</code>) with 100 rows and 18 columns.

Format

Correlated Multivariate Normal Data (p = 18) — p18_corr_mvn

Correlated Multivariate Normal Data (p = 18)

p18_corr_mvn: Correlated Multivariate Normal Data (p = 18)

Description

Usage

Arguments

Format