fit.mvn.no_miss

data

init_mean

<p>Fix the means to their starting value? Must initialize</p>

fix_mean

<p>Estimation for a Single Component Multivariate Normal with No Missingness.</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>.

fit.mvn.no_miss: Estimation for a Single Component Multivariate Normal with No Missingness.

Description

Usage

Arguments

Value