Ensemble Forecast Verification for Large Data Sets

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Documentation for package ‘easyVerification’ version 0.4.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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)