AdaptGauss (1.2.2)

Gaussian Mixture Models (GMM).

http://cran.r-project.org/web/packages/AdaptGauss

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.

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

License: GPL-3

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

Released over 3 years ago.