mmData

<p>A matrix of 2-dimensional Gaussian mixture samples, the samples came from 4 different Gaussian distributions</p>

datasets

A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of tools for common analytical tasks. Structures include linear Gaussian systems, Gaussian and Normal-Inverse-Wishart conjugate structure, Gaussian and Normal-Inverse-Gamma conjugate structure, Categorical and Dirichlet conjugate structure, Dirichlet Process on positive integers, Dirichlet Process in general, Hierarchical Dirichlet Process ... Tasks include updating posteriors, sampling from posteriors, calculating marginal likelihood, calculating posterior predictive densities, sampling from posterior predictive distributions, calculating "Maximum A Posteriori" (MAP) estimates ... See <https://chenhaotian.github.io/Bayesian-Bricks/> to get started.

Haotian Chen

bbricks

Bayesian Methods and Graphical Model Structures for Statistical
Modeling

mmData function

<p>A matrix of Gaussian samples, each row is one sample.</p>

mmData: Samples from a mixture model

Description

Usage

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