# DressCrps: Calculate the Continuous Ranked Probability Score (CRPS) for a mixture of Normal distributions, for example generated by ensemble dressing

## Description

Calculate the Continuous Ranked Probability Score (CRPS) for a mixture of Normal distributions, for example generated by ensemble dressing

## Usage

DressCrps(dressed.ens, obs)

## 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 CRPS values

## References

Grimit et al (2006): The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification. Q.J.R. Meteorol. Soc. 10.1256/qj.05.235

## See Also

EnsCrps, ScoreDiff, SkillScore

## Examples

# NOT RUN {
data(eurotempforecast)
dressed.ens <- DressEnsemble(ens)
mean(DressCrps(dressed.ens, obs))
# }