Skip to contents

Predict unconditional extreme quantiles using peaks over threshold

Source: R/EVT_utils.R
predict_unconditional_quantiles.Rd

Predict unconditional extreme quantiles using peaks over threshold

Usage

predict_unconditional_quantiles(interm_lvl, quantiles = c(0.99), Y, ntest = 1)

Arguments

interm_lvl

Probability level at which the empirical quantile should be used as the intermediate threshold.

quantiles

Probability levels at which to predict the extreme quantiles.

Y

Vector of ("training") observations.

ntest

Number of "test" observations.

Value

Named list containing:

  • predictionsmatrix of dimension ntest times length(quantiles) containing the estimated extreme quantile at levels quantile, repeated ntest times,

  • parsmatrix of dimension ntest times 2 containing the two GPD parameter MLEs, repeated ntest times.

  • thresholdThe threshold for the peaks-over-threshold GPD model. It is the empirical quantile of Y at level interm_lvl, i.e. stats::quantile(Y, interm_lvl).