R: Missingness Aware Gaussian Mixture Models

# Missingness Aware Gaussian Mixture Models

## 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