DressIgn: Calculate the Logarithmic (Ignorance) Score for a mixture of...
In SpecsVerification: Forecast Verification Routines for Ensemble Forecasts of Weather and Climate
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Calculate the Logarithmic (Ignorance) Score for a mixture of Normal distributions, for example generated by ensemble dressing
Usage
1
Arguments
dressed.ens
a list with elements 'ens', a N*R matrix representing N time instances of kernel centers, and 'ker.wd', a N*R matrix with corresponding kernel standard deviations. See function 'DressEnsemble'
obs
a numeric vector of length N with real-valued observations
Value
numeric vector of length N with the Ignorance score values
References
Roulston and Smith (2002) Evaluating Probabilistic Forecasts Using Information Theory, doi: 10.1175/1520-0493(2002)130<1653:EPFUIT>2.0.CO;2
See Also
DressEnsemble, DressCrps
Examples
1
2
3
data(eurotempforecast)
d.ens <- DressEnsemble(ens)
DressIgn(d.ens, obs)
SpecsVerification documentation built on March 26, 2020, 7:55 p.m.
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Description Usage Arguments Value References See Also Examples
Description
Calculate the Logarithmic (Ignorance) Score for a mixture of Normal distributions, for example generated by ensemble dressing
Usage
1 |
Arguments
dressed.ens |
a list with elements 'ens', a N*R matrix representing N time instances of kernel centers, and 'ker.wd', a N*R matrix with corresponding kernel standard deviations. See function 'DressEnsemble' |
obs |
a numeric vector of length N with real-valued observations |
Value
numeric vector of length N with the Ignorance score values
References
Roulston and Smith (2002) Evaluating Probabilistic Forecasts Using Information Theory, doi: 10.1175/1520-0493(2002)130<1653:EPFUIT>2.0.CO;2
See Also
DressEnsemble, DressCrps
Examples
1 2 3 | data(eurotempforecast)
d.ens <- DressEnsemble(ens)
DressIgn(d.ens, obs)
|
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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