gpd.temstat: Tangent exponential model statistics for the generalized...
In mev: Modelling of Extreme Values
gpd.temstat R Documentation
Tangent exponential model statistics for the generalized Pareto distribution
Description
Matrix of approximate ancillary statistics, sample space derivative of the
log likelihood and mixed derivative for the generalized Pareto distribution.
Usage
gpd.Vfun(par, dat)
gpd.phi(par, dat, V)
gpd.dphi(par, dat, V)
Arguments
par
vector of scale and shape
dat
sample vector
V
vector calculated by gpd.Vfun
See Also
gpd
mev documentation built on April 20, 2023, 5:10 p.m.
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| gpd.temstat | R Documentation |
Tangent exponential model statistics for the generalized Pareto distribution
Description
Matrix of approximate ancillary statistics, sample space derivative of the log likelihood and mixed derivative for the generalized Pareto distribution.
Usage
gpd.Vfun(par, dat)
gpd.phi(par, dat, V)
gpd.dphi(par, dat, V)
Arguments
par |
vector of |
dat |
sample vector |
V |
vector calculated by |
See Also
gpd
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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