# Gaussian Parsimonious Clustering Models with Covariates and a Noise Component

## Documentation for package ‘MoEClust’ version 1.3.1

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

## Help Pages

MoEClust-package | MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
ais | Australian Institute of Sport data
aitken | Aitken Acceleration
as.Mclust | Convert MoEClust objects to the Mclust class
as.Mclust.MoEClust | Convert MoEClust objects to the Mclust class
CO2data | GNP and CO2 Data Set
drop_constants | Drop constant variables from a formula
drop_levels | Drop unused factor levels to predict from unseen data
expert_covar | Account for extra variability in covariance matrices with expert covariates
force_posiDiag | Force diagonal elements of a triangular matrix to be positive
MoEClust | MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
MoE_clust | MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
MoE_compare | Choose the best MoEClust model
MoE_control | Set control values for use with MoEClust
MoE_crit | MoEClust BIC, ICL, and AIC Model-Selection Criteria
MoE_cstep | C-step for MoEClust Models
MoE_dens | Density for MoEClust Mixture Models
MoE_estep | E-step for MoEClust Models
MoE_gpairs | Generalised Pairs Plots for MoEClust Mixture Models
MoE_mahala | Mahalanobis Distance Outlier Detection for Multivariate Response
MoE_news | Show the NEWS file
MoE_plotCrit | Model Selection Criteria Plot for MoEClust Mixture Models
MoE_plotGate | Plot MoEClust Gating Network
MoE_plotLogLik | Plot the Log-Likelihood of a MoEClust Mixture Model
MoE_stepwise | Stepwise model/variable selection for MoEClust models
MoE_Uncertainty | Plot Clustering Uncertainties
noise_vol | Approximate Hypervolume Estimate
plot.MoEClust | Plot MoEClust Results
predict.MoEClust | Predictions for MoEClust models
print.MoEClust | MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
print.MoECompare | Choose the best MoEClust model
quant_clust | Quantile-Based Clustering for Univariate Data
residuals.MoEClust | Predictions for MoEClust models
summary.MoEClust | MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component