swMATH ID: 
15510

Software Authors: 
Michael Thrun, Onno HansenGoos, Rabea Griese, Catharina Lippmann, Jorn Lotsch, Alfred Ultsch

Description: 
R package AdaptGauss: Gaussian Mixture Models (GMM). Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chisquared test and KolmogorovSmirnov test. 
Homepage: 
https://cran.rproject.org/web/packages/AdaptGauss/index.html

Source Code: 
https://github.com/cran/AdaptGauss

Dependencies: 
R 
Keywords: 
Pareto Density Estimation;
Gaussian Mixture Models;
GMM

Related Software: 
mclust;
R;
nspmix;
DPP;
SimCorrMix;
mixtools;
BhGLM;
VGAM;
ggplot2;
CAMAN;
rebmix;
ClusterR;
bmixture;
mixdist;
zic;
flexmix;
mixture;
bgmm;
Matrix;
GenOrd

Cited in: 
1 Document
