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SpecsVerification (version 0.4-1)
Forecast Verification Routines for the SPECS FP7 Project
Description
A collection of new forecast verification routines for the SPECS FP7 project. The emphasis is on comparative verification of ensemble forecasts.
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install.packages('SpecsVerification')
Monthly Downloads
448
Version
0.4-1
License
GPL (>= 2)
Maintainer
Stefan Siegert
Last Published
October 23rd, 2015
Functions in SpecsVerification (0.4-1)
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DressScores
Scores for forecast ensembles dressed with Gaussian kernels.
DressIgnSs
Calculate Ignorance skill score, comparing two dressed ensemble forecasts.
PlotDressedEns
Plot a series forecast distributions of dressed ensembles
GaussCrpss
Calculate CRPSS for competing Gaussian probabilistic forecasts.
ReliabilityDiagram
Reliability diagram for probability forecasts
EnsCrps
Continuously ranked probability score (CRPS) for ensemble forecasts.
FairRps
Fair Ranked Probability Score for ensemble forecasts.
DressEnsemble
Ensemble dressing
DressCrpss
Calculate continous ranked probability skill score (CRPSS), comparing two dressed ensemble forecasts.
EnsBrier
Brier Score for ensemble forecasts.
EnsScoreDiff
Calculate average score differences for competing ensemble forecasts.
EnsRpsDiff
Calculate average score differences for competing ensemble forecasts.
EnsRps
Ranked Probability Score for ensemble forecasts.
BrierScoreDecomposition
Brier Score Decomposition
DressScoreDiff
Calculate average score differences for competing dressed ensemble forecasts.
GenerateToyData
Generate toy data for ensemble verification.
FitAkdParameters
Fit parameters for affine kernel dressing
ClimEns
Construct a climatological ensemble from a vector of observations.
FairRpsDiff
Calculate average score differences for competing ensemble forecasts.
CorrDiff
Calculate and evaluate the difference of correlation of two ensemble forecasts.
Corr
Correlation coefficient of the ensemble mean.
GaussCrpsDecomposition
Decomposition of the continuously ranked probability score for Gaussian forecasts into Reliability, Resolution and Uncertainty
FairCrps
Fair continuously ranked probability score (CRPS) for ensemble forecasts.
FairScoreDiff
Calculate average score differences for competing ensemble forecasts.
FairBrier
Fair Brier Score for ensemble forecasts.
PlotRankhist
Plotting function for rank histograms
specs-verification-package
Verification routines for the SPECS FP7 project
GaussCrpsDiff
Calculate average score differences for competing probabilistic forecasts.
Preprocess
Preprocess data for use with SpecsVerification.
TestRankhist
Statistical tests for rank histograms
Rankhist
Rank histogram for ensemble forecasts
Detrend
Auxiliary function for removing trends and mean from observation vector or ensemble matrix or data.frame.
GetDensity
Calculate density and integrated density function of a dressed ensemble forecast
EnsSkillScore
Calculate Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
EnsRpss
Calculate ranked probability skill score for competing ensemble forecasts.
FairSkillScore
Calculate Fair Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
GaussCrps
Continuously ranked probability score (CRPS) for probabilistic forecasts issued as Gaussian distributions.
FairRpss
Calculate fair ranked probability skill score for competing ensemble forecasts.