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<e2><80><93>power transformation |
rangepowerTransform | Range<e2><80><93>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 |