# Missingness Aware Gaussian Mixture Models

## Documentation for package ‘MGMM’ version 0.3.1

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

## Help Pages

CalcWorkResp | Generate Working Response
CalHar | Calinski-Harabaz Index
CalHar.within_cluster_disp | Within Cluster Dispersion
ChooseK | Cluster Number Selection
ChooseK.bootstrap | Bootstrap Quality Metrics.
ChooseK.iter | Attempt Model Fit and Return Quality Metrics.
ChooseK.recommend | Recommend Cluster Number based on Bootstrap Results.
ChooseK.summarize | Summarize Results of Quality Metric Bootstrap.
ClustQual | Cluster Quality
ClustQual.partition_by_clust | Partition Data by Cluster Assignment.
DavBou | Davies-Bouldin Index
DavBou.clust_diameter | Mean Cluster Diameter
eigSym | Eigenvalues of Symmetric Matrix.
ExpResidOP | Expected Residual Outer Product
fit.GMM | Estimate Multivariate Normal Mixture
fit.mix | Fit Multivariate Mixture Distribution
fit.mix.miss.impute | Imputation for Mixutre of MVNs with Missingness.
fit.mix.miss.init | Parameter Initialization for Mixture of Multivariate Normals.
fit.mix.miss.update | Parameter Update for Mixutre of MVNs with Missingness.
fit.mix.miss.update.means | Mean Update for Mixture of MVNs with Missingness.
fit.mvn | Fit Multivariate Normal Distribution
fit.mvn.miss | Estimation for a Single Component Multivariate Normal with Missingness.
fit.mvn.miss.impute | Imputation for a Single Component Multivariate Normal with Missingness.
fit.mvn.miss.init | Parameter Initialization for Single Component Multivariate Normal with Missingness.
fit.mvn.miss.update | Parameter Update for Single Component Multivariate Normal with Missingness.
fit.mvn.no_miss | Estimation for a Single Component Multivariate Normal with No Missingness.
matCov | Covariance
matDet | Matrix Determinant
matInv | Matrix Inverse
matIP | Matrix Inner Product
matOP | Matrix Outer Product
matQF | Quadratic Form
Maximization | Maximization Iteration.
MGMM | MGMM: Missingness Aware Gaussian Mixture Models
mix-class | Mixture Model Class
MixClusterAssign | Cluster Assignment for Mixutre of MVNs with Missingness.
MixClusterSizes | Cluster Sizes for a Mixutre of MVNs.
MixEMObj | EM Objective for a Mixture of MVNs.
MixResidOP | Expected Residual Outer Product for a Mixutre of MVNs.
MMP | Matrix Matrix Product
PartitionData | Paratition a Data.frame by Missingness cases.
print.mix | Print for Fitted Mixture Model
Responsibility | Responsibilities
Responsibility.eval_dens_incomp | Evaluate the Density of an Incomplete Observations
rGMM | Data Generation from Multivariate Normal Mixture Models
SchurC | Schur complement
show-method | Show for Fitted Mixture Models
tr | Matrix Trace
WorkResp | Working Response Vectors