<p>Simulated data, with two variables with three groups, used to illustrate <code>gpcm</code>.</p>

datasets

An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>, Browne and McNicholas (2014) <doi:10.1007/s11634-013-0139-1>, Browne and McNicholas (2015) <doi:10.1002/cjs.11246>.

Paul McNicholas

mixture

Mixture Models for Clustering and Classification

Nik Pocuca

Ryan P. Browne

Paul D. McNicholas

x2 function

<p>A data frame with 300 observations and 2 columns.</p>

x2: Simulated Data

Description

Usage

Arguments

Format