Gmat

partial.q

partial.logL

postPI

GenDataSet

GenMixDataSet

get.E.chi2

get.E.delta

pchisq.my

gridOne

col.ppcontour

fill.ppcontour

fill.pppoints

fill.ppmu

q.map.new

bh.fdr

plotp

plotq

print.lmt

All likelihood mixture test (LMT) functions are for testing and can be
 utilized by advanced developers with caution.
Currently, these are only for workflows.

LMT Functions

EM algorithms and several efficient
initialization methods for model-based clustering of finite
mixture Gaussian distribution with unstructured dispersion
in both of unsupervised and semi-supervised learning.

Wei-Chen Chen

EMCluster

EM Algorithm for Model-Based Clustering of Finite Mixture
Gaussian Distribution

Ranjan Maitra

Volodymyr Melnykov

Dan Nettleton

David Faden

Rouben Rostamian

R Core team 

LMT Functions function

Wei-Chen Chen <a href="/link/wccsnow%40gmail.com?package=EMCluster&version=0.2-16" data-mini-rdoc="EMCluster::wccsnow@gmail.com">wccsnow@gmail.com</a> and Ranjan Maitra.

Author

Likelihood Mixture Test (LMT) Functions of EMCluster — LMT Functions

Wei-Chen Chen <a href='mailto:wccsnow@gmail.com'>wccsnow@gmail.com</a> and Ranjan Maitra.

Likelihood Mixture Test (LMT) Functions of EMCluster

LMT Functions: Likelihood Mixture Test (LMT) Functions of EMCluster

Description

Arguments

Author

References