ExpResidOP

<p>Data for observations with missingness.</p>

data_incomp

new_mean

old_mean

old_cov

gamma

<p>Calculates the expected residual outer product.</p>

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

ExpResidOP function

Expected Residual Outer Product — ExpResidOP

Expected Residual Outer Product

ExpResidOP: Expected Residual Outer Product

Description

Usage

Arguments

Value