# Addons for the 'mclust' Package

## Documentation for package ‘mclustAddons’ version 0.10

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

## Help Pages

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
hypcube_lhs | Latin Hypercube Sampling
hypcube_smc | Simple Monte Carlo Sampling
hypvolgmm | Gaussian mixture-based hypervolume estimation of multivariate data
hypvolgmm_hdlevel | Default HDR level defining the GMM hull
hypvoltmvnorm | Approximate hypervolume for multivariate data
hypvolunif | Approximate hypervolume for multivariate data
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