mix-class

Defines the class returned by the fitting functions.

Parameter estimation and classification for Gaussian Mixture Models (GMMs) in the presence of missing data. This package uses an expectation conditional maximization algorithm to obtain maximum likelihood estimates for all model parameters and maximum a posteriori classifications of the input vectors. For additional details, please see McCaw ZR, Julienne H, Aschard H. "MGMM: an R package for fitting Gaussian Mixture Models on Incomplete Data." <doi:10.1101/2019.12.20.884551>.

Zachary McCaw

MGMM

Missingness Aware Gaussian Mixture Models

mix-class function

<dl class="dl-horizontal">
<dt><code>Assignments</code></dt><dd>Maximum a posteriori assignment.</dd></dl><dt><code>Completed</code></dt><dd>Completed data, with missing values replaced by posterior expectations.</dd><dt><code>Components</code></dt><dd>Components.</dd><dt><code>Covariances</code></dt><dd>Fitted cluster covariances.</dd><dt><code>Density</code></dt><dd>Component density at observation.</dd><dt><code>Means</code></dt><dd>Fitted cluster means.</dd><dt><code>Objective</code></dt><dd>Final value of the EM objective.</dd><dt><code>Proportions</code></dt><dd>Fitted cluster proportions.</dd><dt><code>Responsibilities</code></dt><dd>Posterior membership probabilities.</dd>

mix-class: Mixture Model Class

Description

Arguments

Slots