swMATH ID: 15510
Software Authors: Michael Thrun, Onno Hansen-Goos, 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, Chi-squared test and Kolmogorov-Smirnov test.
Homepage: https://cran.r-project.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

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1 Artificial Intelligence

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