AdaptGauss (1.3.5)

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

Maintainer: Florian Lerch
Author(s): Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Florian Lerch, Jorn Lotsch, Alfred Ultsch

License: GPL-3

Uses: ggplot2, pracma, shiny, mclust
Reverse suggests: DatabionicSwarm, DataVisualizations

Released over 1 year ago.