Last data update: 2014.03.03
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AdaptGauss
Package: AdaptGauss
Type: Package
Title: Gaussian Mixture Models (GMM)
Version: 1.2.3
Date: 2016-06-15
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
URL: https://www.uni-marburg.de/fb12/datenbionik/software-en
NeedsCompilation: no
Packaged: 2016-06-16 07:47:27 UTC; mthrun
Repository: CRAN
Date/Publication: 2016-06-16 18:18:52
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'AdaptGauss' ...
** package 'AdaptGauss' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'AdaptGauss'
finding HTML links ... done
AdaptGauss-package html
AdaptGauss html
Bayes4Mixtures html
BayesDecisionBoundaries html
CDFMixtures html
Chi2testMixtures html
ClassifyByDecisionBoundaries html
EMGauss html
InformationCriteria4GMM html
Intersect2Mixtures html
KStestMixtures html
LikelihoodRatio4Mixtures html
LogLikelihood4Mixtures html
OptimalNoBins html
ParetoDensityEstimation html
ParetoRadius html
Pdf4Mixtures html
PlotMixtures html
PlotMixturesAndBoundaries html
qqplotGMM html
randomLogGMM html
** building package indices
** testing if installed package can be loaded
* DONE (AdaptGauss)
Making 'packages.html' ... done
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