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.