# EnsCrps: Calculate the ensemble-adjusted Continuous Ranked Probability Score (CRPS)

## Description

Calculate the ensemble-adjusted Continuous Ranked Probability Score (CRPS)

## Usage

EnsCrps(ens, obs, R.new = NA)FairCrps(ens, obs)

## Arguments

ens

a N*R matrix representing N time instances of real-valued R-member ensemble forecasts

obs

a numeric vector of length N with real-valued observations

R.new

positive number, can be `Inf`, ensemble size for which the scores should be adjusted, default is NA for no adjustment

## Value

numeric vector of length N with the ensemble-adjusted CRPS values

## Details

`FairCrps(ens, obs)` returns `EnsCrps(ens, obs, R.new=Inf)`

## References

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

## See Also

EnsBrier, EnsRps, DressCrps, GaussCrps, ScoreDiff, SkillScore

## Examples

# NOT RUN {
data(eurotempforecast)
mean(EnsCrps(ens, obs, R.new=Inf))
# }