R/quantMax.R
qMax.TVGEV.Rd
Compute the quantiles of the maximum over a period of time.
qMax.TVGEV(
object,
p,
date = NULL,
psi = NULL,
deriv = FALSE,
hessian = FALSE,
trace = 0,
...
)
A TVGEV
object.
A vector of probability values at which the quantile function is to be evaluated.
A vector that can be coerced to the class
"Date"
which defines the period of time.
Optional vector of parameters. By default, the
estimated vector of parameters coef(object)
is used.
Logical. If TRUE
the gradient of the quantile
function will be computed and returned as the
"gradient"
attribute of the result.
Logical, If TRUE
the Hessian of the quantile
function will be computed and returned as the "hessian"
attribute of the result.
Integer level of verbosity.
Not used yet.
A vector of values for the quanitle function. Beside the
gradient (w.r.t. the parameters) returned as the attribute
named "gradient"
, the Hessian can also be returned as
the attribute "Hessian"
of the result.
The quantMax
method can be used to compute the
quantiles and confidence intervals: delta or profile
likelihood.
This function may be renamed in a future version.
See the Computing Details vignette of the package for the computation of the derivatives.
The quantMax.TVGEV
method.