AdaptGauss (version 1.6)

Gaussian Mixture Models (GMM)

Description

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) .

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Install

install.packages('AdaptGauss')

Monthly Downloads

587

Version

1.6

License

GPL-3

Maintainer

Last Published

February 2nd, 2024

Functions in AdaptGauss (1.6)