Extreme Value Mixture Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation

The usual distribution functions, maximum likelihood inference and model diagnostics for univariate stationary extreme value mixture models are provided. Kernel density estimation including various boundary corrected kernel density estimation methods and a wide choice of kernels, with cross-validation likelihood based bandwidth estimator. Reasonable consistency with the base functions in the 'evd' package is provided, so that users can safely interchange most code.


Reference manual

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2.12 by Carl Scarrott, 2 years ago


Browse source code at https://github.com/cran/evmix

Authors: Carl Scarrott , Yang Hu and Alfadino Akbar , University of Canterbury

Documentation:   PDF Manual  

Task views: Extreme Value Analysis, Probability Distributions

GPL-3 license

Depends on stats, graphics, MASS, splines, gsl, SparseM, grDevices

Imported by OpVaR, zcurve.

See at CRAN