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Translate a (named) vector of Gumbel parameters into a vector of parameters for a renewal model.
gumbel2Ren(parGumbel,
threshold = NULL,
lambda = NULL,
w = 1,
distname.y = c("exponential"),
vcovGumbel = NULL,
jacobian = TRUE,
plot = FALSE)
A vector of Renouv parameters, which can be used with
RenouvNoEst
.
Named vector of Gumbel parameters, with name "scale"
and
"shape"
.
The threshold for the target Renouv parameters.
The rate for the target Renouv parameters.
A block duration for the conversion.
The distribution of the excesses.
A covariance matrix for the Gumbel parameters.
Logical. If TRUE
, the jacobian is used.
Logical. If TRUE
, a rough plot will be drawn.
Yves Deville
All Renouv models lead to the same return level curve whatever be the
choice of threshold
or lambda
. However, when a
covariance matrix is given, the covariance matrix for the Renouv
parameters and consequently the confidence bounds depend on the
threshold or rate. So the computed covariance matrix must in general
be considered as putative.
Given a vector of Gumbel parameters and a block duration, there exits
an infinity of Renouv
models with exponential excesses leading to
the prescribed Gumbel distributions for the maximum of the marks on a
block with duration w
. One of these models may be chosen by
specifying either a threshold or a rate lambda
.
gev2Ren
for a similar translation from the GEV
distribution.