| as.densityMclustBounded | Internal 'mclustAddons' functions |
| as.densityMclustBounded.default | Internal 'mclustAddons' functions |
| as.densityMclustBounded.MclustBounded | Internal 'mclustAddons' functions |
| as.MclustBounded | Internal 'mclustAddons' functions |
| as.MclustBounded.default | Internal 'mclustAddons' functions |
| as.MclustBounded.densityMclustBounded | Internal 'mclustAddons' functions |
| bits2nats | Gaussian mixture-based estimation of entropy |
| cdfDensityBounded | Cumulative distribution and quantiles of univariate model-based mixture density estimation for bounded data |
| densityMclustBounded | Model-based mixture density estimation for bounded data |
| densityMclustBounded.diagnostic | Cumulative distribution and quantiles of univariate model-based mixture density estimation for bounded data |
| EntropyGauss | Gaussian mixture-based estimation of entropy |
| EntropyGMM | Gaussian mixture-based estimation of entropy |
| EntropyGMM.data.frame | Gaussian mixture-based estimation of entropy |
| EntropyGMM.densityMclust | Gaussian mixture-based estimation of entropy |
| EntropyGMM.densityMclustBounded | Gaussian mixture-based estimation of entropy |
| EntropyGMM.matrix | Gaussian mixture-based estimation of entropy |
| EntropyGMM.Mclust | Gaussian mixture-based estimation of entropy |
| ES | Financial risk measures |
| ES.GMMlogreturn | Risk measures from Gaussian mixtures modeling |
| GaussianMixtureMEM | Modal EM algorithm for Gaussian Mixtures |
| gmm2margParams | Marginal parameters from fitted GMMs via mclust |
| GMMlogreturn | Modeling log-returns distribution via Gaussian Mixture Models |
| gold | Gold price log-returns |
| mclustAddons-internal | Internal 'mclustAddons' functions |
| MclustBounded | Model-based clustering for bounded data |
| MclustBoundedParameters | Recover parameters in the original scale |
| mclustMarginalParams | Marginal parameters from fitted GMMs via mclust |
| MclustMEM | Modal EM algorithm for Gaussian Mixtures fitted via _mclust_ package |
| nats2bits | Gaussian mixture-based estimation of entropy |
| plot.densityMclustBounded | Plotting method for model-based mixture density estimation for bounded data |
| plot.MclustBounded | Plotting method for model-based clustering of bounded data |
| plot.MclustMEM | Plotting method for modal-clustering based on Gaussian Mixtures |
| predict.densityMclustBounded | Model-based mixture density estimation for bounded data |
| predict.MclustBounded | Model-based clustering estimation for bounded data |
| print.densityMclustBounded | Model-based mixture density estimation for bounded data |
| print.MclustBounded | Model-based clustering for bounded data |
| print.MclustMEM | Modal EM algorithm for Gaussian Mixtures fitted via _mclust_ package |
| print.summary.densityMclustBounded | Model-based mixture density estimation for bounded data |
| print.summary.MclustBounded | Model-based clustering for bounded data |
| print.summary.MclustMEM | Modal EM algorithm for Gaussian Mixtures fitted via _mclust_ package |
| quantileDensityBounded | Cumulative distribution and quantiles of univariate model-based mixture density estimation for bounded data |
| racial | Racial data |
| rangepowerBackTransform | Range–power transformation |
| rangepowerTransform | Range–power transformation |
| suicide | Suicide data |
| summary.densityMclustBounded | Model-based mixture density estimation for bounded data |
| summary.GMMlogreturn | Modeling log-returns distribution via Gaussian Mixture Models |
| summary.MclustBounded | Model-based clustering for bounded data |
| summary.MclustMEM | Modal EM algorithm for Gaussian Mixtures fitted via _mclust_ package |
| VaR | Financial risk measures |
| VaR.GMMlogreturn | Risk measures from Gaussian mixtures modeling |