ParetoRadius

Data

Optional, numeric. Maximum number for which the distance calculation can be done. 1000 by default.

maximumNrSamples

Optional, logical. If TRUE,  a plot of the percentiles of distances is produced. FALSE by default.

plotDistancePercentiles

Calculation of the ParetoRadius i.e. the 18 percentiles of all mutual Euclidian distances in data.

kernel density estimation

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.

ParetoRadius: ParetoRadius for distributions

Description

Usage

Arguments

Value

Details

References

See Also