IMIFA_news

<p>Show the <code>NEWS</code> file of the <code>IMIFA</code> package.</p>

utility

Provides flexible Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering high-dimensional data, introduced by Murphy et al. (2020) <doi:10.1214/19-BA1179>. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, posterior predictive checking, and quantifying uncertainty.

Keefe Murphy

IMIFA

Infinite Mixtures of Infinite Factor Analysers and Related
Models

Cinzia Viroli

Isobel Claire Gormley

IMIFA_news function

Show the NEWS file — IMIFA_news

Show the NEWS file

IMIFA_news: Show the NEWS file

Description

Usage

Arguments

Value

Examples