extremefit1.0.2 package

Estimation of Extreme Conditional Quantiles and Probabilities

bandwidth.CV

Choice of the bandwidth by cross validation.

bandwidth.grid

Bandwidth Grid

Biweight.kernel

Biweight kernel function

bootCI

Pointwise confidence intervals by bootstrap

bootCI.ts

Pointwise confidence intervals by bootstrap

Burr-Distribution

Burr distribution

cox.adapt

Compute the extreme quantile procedure for Cox model

CriticalValue

Computation of the critical value in the hill.adapt function

Epa.kernel

Epanechnikov kernel function

Gaussian.kernel

Gaussian kernel function

goftest.hill.adapt

Goodness of fit test statistics

goftest.hill.ts

Goodness of fit test statistics for time series

goftest

Goodness of fit test statistics

hill.adapt

Compute the extreme quantile procedure

hill

Hill estimator

hill.ts

Compute the extreme quantile procedure on a time dependent data

Pareto-Distribution

Pareto distribution

Pareto-mix

Pareto mixture distribution

plot.hill.adapt

Hill.adapt plot

plot.hill

Hill plot

pparetoCP

Pareto change point distribution

predict.cox.adapt

Predict the survival or quantile function from the extreme procedure f...

predict.hill.adapt

Predict the adaptive survival or quantile function

predict.hill

Predict the adaptive survival or quantile function

predict.hill.ts

Predict the adaptive survival or quantile function for a time serie

probgrid

Probability grid

rburr.dependent

Generate Burr dependent data

Rectangular.kernel

Rectangular kernel function

Triang.kernel

Triangular kernel function

TruncGauss.kernel

Truncated Gaussian kernel function

wecdf

Weighted empirical cumulative distribution function

wquantile

Weighted quantile

Extreme value theory, nonparametric kernel estimation, tail conditional probabilities, extreme conditional quantile, adaptive estimation, quantile regression, survival probabilities.

  • Maintainer: Kevin Jaunatre
  • License: GPL-2
  • Last published: 2019-05-04