Package: AdaptGauss
Type: Package
Title: Gaussian Mixture Models (GMM)
Version: 1.2.2
Date: 2016-06-09
Author: Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Jorn Lotsch, Alfred Ultsch
Maintainer: Michael Thrun <mthrun@mathematik.uni-marburg.de>
Description: 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.
Imports: shiny, caTools, mclust, methods, ggplot2, grid
Depends: R (>= 2.10)
License: GPL-3
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-06-09 08:03:10 UTC; MT
Repository: CRAN
Date/Publication: 2016-06-15 12:28:30
