Computes the profile log likelihood over a grid of values of \(\psi\) for various parameters, including return levels.
egp.pll(
psi,
model = c("pt-beta", "pt-gamma", "pt-power", "gj-tnorm", "gj-beta", "exptilt",
"logist"),
param = c("kappa", "scale", "shape", "retlev"),
mle = NULL,
xdat,
thresh = NULL,
plot = FALSE,
method = c("Nelder", "nlminb", "BFGS"),
p,
...
)an object of class eprof
grid of values for the parameter to profile
string; choice of extended eneralized Pareto model.
string; parameter to profile
a vector or matrix with maximum likelihood estimates of kappa, scale, shape. This can be a matrix if there are multiple threshold
vector of observations
vector of positive thresholds. If NULL, defaults to zero.
logical; if TRUE, returns a plot of the profile log likelihood
string giving the optimization method for the outer optimization in the augmented Lagrangian routine; one of nlminb or BFGS
tail probability for return level if param="retlev".
additional arguments, currently ignored