AdaptGauss 1.5

Gaussian Mixture Models (GMM)

Released Jan 31, 2019 by Florian Lerch

This package cannot yet be used with Renjin it depends on other packages which are not available: ggplot2 3.1.0 and shiny 1.2.0 An older version of this package is more compatible with Renjin.


shiny 1.2.0 ggplot2 3.1.0 pracma 2.2.2

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) .