Gaussian Mixture Models (GMM)

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Documentation for package ‘AdaptGauss’ version 1.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

AdaptGauss-package	Gaussian Mixture Models (GMM)
AdaptGauss	Adapt Gaussian Mixture Model (GMM)
Bayes4Mixtures	Posterioris of Bayes Theorem
BayesClassification	BayesClassification
BayesDecisionBoundaries	Decision Boundaries calculated through Bayes Theorem
BayesFor2GMM	Posterioris of Bayes Theorem for a two group GMM
CDFMixtures	cumulative distribution of mixture model
Chi2testMixtures	Pearson's chi-squared goodness of fit test
ClassifyByDecisionBoundaries	Classify Data according to decision Boundaries
EMGauss	EM Algorithm for GMM
GMMplot_ggplot2	Plots the Gaussian Mixture Model (GMM) withing ggplot2
InformationCriteria4GMM	Information Criteria For GMM
Intersect2Mixtures	Intersect of two Gaussians
KStestMixtures	Kolmogorov-Smirnov test
LikelihoodRatio4Mixtures	Likelihood Ratio for Gaussian Mixtures
LKWFahrzeitSeehafen2010	Truck driving time seaport 2010
LogLikelihood4Mixtures	LogLikelihood for Gaussian Mixture Models
MultiModal	Gaussian Mixture Models (GMM)
Pdf4Mixtures	Calculates pdf for GMM
PlotMixtures	Shows GMM
PlotMixturesAndBoundaries	Shows GMM with Boundaries
QQplotGMM	Quantile Quantile Plot of Data
RandomLogGMM	Random Number Generator for Log or Gaussian Mixture Model
Symlognpdf	computes a special case of log normal distribution density