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.
Version: | 1.1.0 |
Depends: | R (≥ 2.10) |
Imports: | shiny, caTools, mclust, methods |
Published: | 2015-10-14 |
Author: | Michael Thrun, Onno Hansen-Goos, Rabea Griese, Catharina Lippmann, Jorn Lotsch, Alfred Ultsch |
Maintainer: | Michael Thrun <mthrun at mathematik.uni-marburg.de> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | AdaptGauss results |
Reference manual: | AdaptGauss.pdf |
Package source: | AdaptGauss_1.1.0.tar.gz |
Windows binaries: | r-devel: AdaptGauss_1.1.0.zip, r-release: AdaptGauss_1.1.0.zip, r-oldrel: AdaptGauss_1.1.0.zip |
OS X Snow Leopard binaries: | r-release: AdaptGauss_1.1.0.tgz, r-oldrel: not available |
OS X Mavericks binaries: | r-release: AdaptGauss_1.1.0.tgz |
Old sources: | AdaptGauss archive |