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 |