Package: AdaptGauss
Type: Package
Title: Gaussian Mixture Models (GMM)
Version: 1.3.3
Date: 2017-03-15
Author: Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Florian Lerch, Jorn Lotsch, Alfred Ultsch
Maintainer: Florian Lerch <lerch@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. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015)  <DOI:10.3390/ijms161025897>.
Imports: shiny, caTools, methods, ggplot2
Suggests: mclust, grid
Depends: R (>= 2.10)
License: GPL-3
LazyLoad: yes
URL: https://www.uni-marburg.de/fb12/datenbionik/software-en
NeedsCompilation: no
Packaged: 2017-03-15 13:09:14 UTC; mthrun
Repository: CRAN
Date/Publication: 2017-03-15 17:12:21
