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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>.
Version: | 1.6 |
Depends: | R (≥ 2.10) |
Imports: | Rcpp, shiny, pracma, methods, DataVisualizations, plotly |
LinkingTo: | Rcpp |
Suggests: | mclust, grid, foreach, dqrng, parallelDist, knitr (≥ 1.12), rmarkdown (≥ 0.9), reshape2, ggplot2 |
Published: | 2024-02-02 |
DOI: | 10.32614/CRAN.package.AdaptGauss |
Author: | Michael Thrun |
Maintainer: | Michael Thrun <m.thrun at gmx.net> |
BugReports: | https://github.com/Mthrun/AdaptGauss/issues |
License: | GPL-3 |
URL: | https://www.deepbionics.org |
NeedsCompilation: | yes |
CRAN checks: | AdaptGauss results |
Reference manual: | AdaptGauss.pdf |
Vignettes: |
Short Intro into Gaussian Mixture Models |
Package source: | AdaptGauss_1.6.tar.gz |
Windows binaries: | r-devel: AdaptGauss_1.6.zip, r-release: AdaptGauss_1.6.zip, r-oldrel: AdaptGauss_1.6.zip |
macOS binaries: | r-release (arm64): AdaptGauss_1.6.tgz, r-oldrel (arm64): AdaptGauss_1.6.tgz, r-release (x86_64): AdaptGauss_1.6.tgz, r-oldrel (x86_64): AdaptGauss_1.6.tgz |
Old sources: | AdaptGauss archive |
Reverse imports: | DistributionOptimization, opGMMassessment, scapGNN, Umatrix |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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