AdaptGauss: Gaussian Mixture Models (GMM)
Version 1.3.3

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. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015) .

Package details

AuthorMichael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Florian Lerch, Jorn Lotsch, Alfred Ultsch
Date of publication2017-03-15 17:12:21
MaintainerFlorian Lerch <lerch@mathematik.uni-marburg.de>
LicenseGPL-3
Version1.3.3
URL https://www.uni-marburg.de/fb12/datenbionik/software-en
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("AdaptGauss")

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AdaptGauss documentation built on May 29, 2017, 3:56 p.m.