| 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 |
| fitted.MoEClust | Predictions for MoEClust models |
| fitted.MoE_expert | Predictions from MoEClust expert networks |
| fitted.MoE_gating | Predictions from MoEClust gating networks |
| 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_AvePP | Average posterior probabilities of a fitted MoEClust model |
| 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_entropy | Entropy of a fitted MoEClust model |
| 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_Similarity | Plot the Similarity Matrix 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 |
| predict.MoE_expert | Predictions from MoEClust expert networks |
| predict.MoE_gating | Predictions from MoEClust gating networks |
| 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 |
| residuals.MoE_expert | Predictions from MoEClust expert networks |
| residuals.MoE_gating | Predictions from MoEClust gating networks |
| summary.MoEClust | MoEClust: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component |