Vector implementing conditioning on approximate ancillary statistics for the TEM
Canonical parameter in the local exponential family approximation
Derivative of the canonical parameter \(\phi(\theta)\) in the local exponential family approximation
gevr.Vfun(par, dat, p)gevr.phi(par, dat, p, V)
gevr.dphi(par, dat, p, V)
vector of retlev
, scale
and shape
sample vector
tail probability, corresponding to \((1-p)\)th quantile for \(z\)
vector calculated by gevr.Vfun