SecondOrderMixedDiffVal

function value at <code>(x,y)</code>.

value.c

function value at <code>(x+epsilonx,y)</code>.

value.x.p

function value at <code>(x-epsilon,y)</code>.

value.x.m

function value at <code>(x,y+epsilon)</code>.

value.y.p

function value at <code>(x,y-epsilon)</code>.

value.y.m

function value at <code>(x+epsilon,y+epsilon)</code>.

value.xy.p

function value at <code>(x-epsilon,y-epsilon)</code>.

value.xy.m

offset value for both <code>x</code> and <code>y</code>.

epsilon

Second-order bivariate differentiation calculation.

Implementation of trawl processes and an extension of such processes into a univariate latent model for extreme values.
Inference, simulation and initialization tools are available. See Noven et al. (2018) <DOI:10.21314/JEM.2018.179> which can be found on arXiv (<arXiv:1511.08190>) .

SecondOrderMixedDiffVal: Second-order bivariate differentiation calculation.

Description

Usage

Arguments

Value