Forecast Verification Routines for the SPECS FP7 Project

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Documentation for package ‘SpecsVerification’ version 0.4-1

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BrierScoreDecomposition Brier Score Decomposition
ClimEns Construct a climatological ensemble from a vector of observations.
Corr Correlation coefficient of the ensemble mean.
CorrDiff Calculate and evaluate the difference of correlation of two ensemble forecasts.
Detrend Auxiliary function for removing trends and mean from observation vector or ensemble matrix or data.frame.
DressCrps Scores for forecast ensembles dressed with Gaussian kernels.
DressCrpsDiff Calculate average score differences for competing dressed ensemble forecasts.
DressCrpss Calculate continous ranked probability skill score (CRPSS), comparing two dressed ensemble forecasts.
DressEnsemble Ensemble dressing
DressIgn Scores for forecast ensembles dressed with Gaussian kernels.
DressIgnDiff Calculate average score differences for competing dressed ensemble forecasts.
DressIgnSs Calculate Ignorance skill score, comparing two dressed ensemble forecasts.
EnsBrier Brier Score for ensemble forecasts.
EnsBrierDiff Calculate average score differences for competing ensemble forecasts.
EnsBrierSs Calculate Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
EnsCrps Continuously ranked probability score (CRPS) for ensemble forecasts.
EnsCrpsDiff Calculate average score differences for competing ensemble forecasts.
EnsCrpss Calculate Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
EnsRps Ranked Probability Score for ensemble forecasts.
EnsRpsDiff Calculate average score differences for competing ensemble forecasts.
EnsRpss Calculate ranked probability skill score for competing ensemble forecasts.
FairBrier Fair Brier Score for ensemble forecasts.
FairBrierDiff Calculate average score differences for competing ensemble forecasts.
FairBrierSs Calculate Fair Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
FairCrps Fair continuously ranked probability score (CRPS) for ensemble forecasts.
FairCrpsDiff Calculate average score differences for competing ensemble forecasts.
FairCrpss Calculate Fair Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
FairRps Fair Ranked Probability Score for ensemble forecasts.
FairRpsDiff Calculate average score differences for competing ensemble forecasts.
FairRpss Calculate fair ranked probability skill score for competing ensemble forecasts.
FitAkdParameters Fit parameters for affine kernel dressing
GaussCrps Continuously ranked probability score (CRPS) for probabilistic forecasts issued as Gaussian distributions.
GaussCrpsDecomposition Decomposition of the continuously ranked probability score for Gaussian forecasts into Reliability, Resolution and Uncertainty
GaussCrpsDiff Calculate average score differences for competing probabilistic forecasts.
GaussCrpss Calculate CRPSS for competing Gaussian probabilistic forecasts.
GenerateToyData Generate toy data for ensemble verification.
GetDensity Calculate density and integrated density function of a dressed ensemble forecast
PlotDressedEns Plot a series forecast distributions of dressed ensembles
PlotRankhist Plotting function for rank histograms
Preprocess Preprocess data for use with SpecsVerification.
Rankhist Rank histogram for ensemble forecasts
ReliabilityDiagram Reliability diagram for probability forecasts
SpecsVerification Verification routines for the SPECS FP7 project
TestRankhist Statistical tests for rank histograms