gpd_k1_ggd_mev: Derivative of expected information matrix, based on MEV...
In fitdistcp: Distribution Fitting with Calibrating Priors for Commonly Used Distributions
View source: R/120b_gpd_k1_libs.R
gpd_k1_ggd_mev R Documentation
Derivative of expected information matrix, based on MEV routine gpd.infomat
Description
Derivative of expected information matrix, based on MEV routine gpd.infomat
Usage
gpd_k1_ggd_mev(v1, fd1, v2, d2, kloc)
Arguments
v1
first parameter
fd1
the fractional delta used in the numerical derivatives with respect to the parameter
v2
second parameter
d2
the delta used in the numerical derivatives with respect to the parameter
kloc
the known location parameter
Value
Cubic scalar array
fitdistcp documentation built on June 8, 2025, 1:04 p.m.
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View source: R/120b_gpd_k1_libs.R
| gpd_k1_ggd_mev | R Documentation |
Derivative of expected information matrix, based on MEV routine gpd.infomat
Description
Derivative of expected information matrix, based on MEV routine gpd.infomat
Usage
gpd_k1_ggd_mev(v1, fd1, v2, d2, kloc)
Arguments
v1 |
first parameter |
fd1 |
the fractional delta used in the numerical derivatives with respect to the parameter |
v2 |
second parameter |
d2 |
the delta used in the numerical derivatives with respect to the parameter |
kloc |
the known location parameter |
Value
Cubic scalar array
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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