R: Calculate the ensemble-adjusted Brier Score

EnsBrier {SpecsVerification} | R Documentation

## Calculate the ensemble-adjusted Brier Score

### Description

Calculate the ensemble-adjusted Brier Score

### Usage

    EnsBrier(ens, obs, R.new = NA)

    FairBrier(ens, obs)

### Arguments

`ens` | a N*R matrix representing N time instances of R-member ensemble forecasts of binary events; ens[t,r]=1 if the r-th ensemble member at time t predicted the event, otherwise ens[t,r]=0
`obs` | a numeric vector of length N with binary observations; obs[t]=1 if the event happens at time t, otherwise obs[t]=0
`R.new` | ensemble size for which the scores should be adjusted

### Details

'FairBrier(ens, obs)' returns 'EnsBrier(ens, obs, R.new=Inf)'

### Value

numeric vector of length N with the ensemble-adjusted Brier scores

### References

Ferro CAT, Richardson SR, Weigel AP (2008) On the effect of ensemble size on the discrete and continuous ranked probability scores. Meteorological Applications. doi: 10.1002/met.45

### See Also

EnsRps, EnsCrps, ScoreDiff, SkillScore

### Examples

    data(eurotempforecast)
    mean(EnsBrier(ens.bin, obs.bin, R.new=Inf))

[Package SpecsVerification version 0.5-3 Index]