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cran
evd:Functions for Extreme Value Distributions
Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.
Maintained by Alec Stephenson. Last updated 6 months ago.
2 stars 7.58 score 84 dependents
r-forge
POT:Generalized Pareto Distribution and Peaks Over Threshold
Some functions useful to perform a Peak Over Threshold analysis in univariate and bivariate cases, see Beirlant et al. (2004) <doi:10.1002/0470012382>. A user guide is available in the vignette.
Maintained by Christophe Dutang. Last updated 5 months ago.
6.20 score 105 scripts 2 dependentscran
evmix: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.
Maintained by Carl Scarrott. Last updated 6 years ago.
2 stars 2.85 score 7 dependents