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: | 1.2.4 |
| Depends: | R (≥ 2.10) |
| Imports: | shiny, caTools, mclust, methods, ggplot2, grid |
| Published: | 2016-06-30 |
| 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 |
| URL: | https://www.uni-marburg.de/fb12/datenbionik/software-en |
| NeedsCompilation: | no |
| CRAN checks: | AdaptGauss results |
| Reference manual: | AdaptGauss.pdf |
| Package source: | AdaptGauss_1.2.4.tar.gz |
| Windows binaries: | r-devel: AdaptGauss_1.2.4.zip, r-release: AdaptGauss_1.2.4.zip, r-oldrel: AdaptGauss_1.2.4.zip |
| OS X Mavericks binaries: | r-release: AdaptGauss_1.2.4.tgz, r-oldrel: AdaptGauss_1.2.4.tgz |
| Old sources: | AdaptGauss archive |
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