Missingness Aware Gaussian Mixture Models

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Documentation for package ‘MGMM’ version 1.0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

CalHar	Calinski-Harabaz Index
ChooseK	Cluster Number Selection
ClustQual	Cluster Quality
CombineMIs	Combine Multiple Imputations
DavBou	Davies-Bouldin Index
FitGMM	Estimate Multivariate Normal Mixture
FitMix	Fit Multivariate Mixture Distribution
FitMVN	Fit Multivariate Normal Distribution
GenImputation	Generate Imputation
logLik.mix	Log likelihood for Fitted GMM
logLik.mvn	Log likelihood for Fitted MVN Model
mean.mix	Mean for Fitted GMM
mean.mvn	Mean for Fitted MVN Model
mix-class	Mixture Model Class
MixUpdateMeans	Mean Update for Mixture of MVNs with Missingness.
mvn-class	Multivariate Normal Model Class
PartitionData	Partition Data by Missingness Pattern
print.mix	Print for Fitted GMM
print.mvn	Print for Fitted MVN Model
ReconstituteData	Reconstitute Data
rGMM	Generate Data from Gaussian Mixture Models
show-method	Show for Fitted Mixture Models
show-method	Show for Multivariate Normal Models
vcov.mix	Covariance for Fitted GMM
vcov.mvn	Covariance for Fitted MVN Model