Ensemble Forecast Verification for Large Data Sets


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Documentation for package ‘easyVerification’ version 0.4.5

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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)