R: Gaussian Mixture Models (GMM)

# Gaussian Mixture Models (GMM)

## 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