R: Ensemble Forecast Verification for Large Data Sets

# Ensemble Forecast Verification for Large Data Sets

## Documentation for package ‘easyVerification’ version 0.4.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

changearg | Change Function Default Arguments
climFairRpss | Calculate Fair Ranked Probability Skill Score Against Climatological Reference Forecast.
convert2prob | Convert to Probability / Category Forecast
count2prob | Convert Ensemble Counts to Probabilities
easyVerification | Ensemble Forecast Verification for Large Data Sets
Ens2AFC | Generalized Discrimination Score
EnsCorr | Correlation with Ensemble Mean
EnsError | Ensemble Mean Error
EnsErrorss | Ensemble Mean Error Skill scores
EnsIgn | Ignorance Score
EnsIgnss | Ignorance Score
EnsMae | Ensemble Mean Error
EnsMaess | Ensemble Mean Error Skill scores
EnsMe | Ensemble Mean Error
EnsMse | Ensemble Mean Error
EnsMsess | Ensemble Mean Error Skill scores
EnsRmse | Ensemble Mean Error
EnsRmsess | Ensemble Mean Error Skill scores
EnsRoca | Area Under the ROC Curve
EnsRocss | Area Under the ROC Curve
EnsSprErr | Spread to Error Ratio
expandthresh | Convert to Probability / Category Forecast
FairSprErr | Fair Spread to Error Ratio
generateRef | Generate Probabilistic Climatological Ensemble Forecast from Observations
indRef | Generate Probabilistic Climatological Ensemble Forecast from Observations
oldEnsRoca | Area Under the ROC Curve
prob2thresh | Convert to Probability / Category Forecast
rank.ensembles | Generalized Discrimination Score
size | Size of Array or Vector
toyarray | Create Example Forecast-Observation Pairs
toymodel | Create Example Forecast-Observation Pairs
veriApply | Apply Verification Metrics to Large Datasets
veriUnwrap | Unwrap Arguments and Hand Over to Verification Function
weisheimer | Compute Reliability Categories as in Weisheimer et al. (2014)