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 |
FARI | Compute the Frobenius (adjusted) Rand index |
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 |