Package: AdaptGauss 1.5.8
AdaptGauss: Gaussian Mixture Models (GMM)
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>.
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AdaptGauss_1.5.8.tar.gz
AdaptGauss_1.5.8.tar.gz(r-4.4-noble)
AdaptGauss_1.5.8.tgz(r-4.4-emscripten)AdaptGauss_1.5.8.tgz(r-4.3-emscripten)
AdaptGauss.pdf |AdaptGauss.html✨
AdaptGauss/json (API)
# Install 'AdaptGauss' in R: |
install.packages('AdaptGauss', repos = c('https://mthrun.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mthrun/adaptgauss/issues
- LKWFahrzeitSeehafen2010 - Truck driving time seaport 2010
Last updated 1 years agofrom:d0a5d20d90. Checks:OK: 1. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Nov 05 2024 |
Exports:AdaptGaussBayes4MixturesBayesClassificationBayesDecisionBoundariesBayesFor2GMMCDFMixturesChi2testMixturesClassifyByDecisionBoundariesEMGaussGMMplot_ggplot2InformationCriteria4GMMIntersect2MixturesKStestMixturesLikelihoodRatio4MixturesLogLikelihood4MixturesOptimalNoBinsPdf4MixturesPlotMixturesPlotMixturesAndBoundariesQQplotGMMRandomLogGMMSymlognpdf
Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayonDataVisualizationsdigestfansifarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpracmapromisesR6rappdirsRColorBrewerRcppRcppArmadilloreshape2rlangsassscalesshinysourcetoolsspstringistringrtibbleutf8vctrsviridisLitewithrxtable