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SpecsVerification (version 0.4-0)

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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Version

Install

install.packages('SpecsVerification')

Monthly Downloads

437

Version

0.4-0

License

GPL (>= 2)

Maintainer

Stefan Siegert

Last Published

September 11th, 2015

Functions in SpecsVerification (0.4-0)

CorrDiff

Calculate and evaluate the difference of correlation of two ensemble forecasts.
FairSkillScore

Calculate Fair Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
EnsCrps

Continuously ranked probability score (CRPS) for ensemble forecasts.
ClimEns

Construct a climatological ensemble from a vector of observations.
EnsRpss

Calculate ranked probability skill score for competing ensemble forecasts.
EnsScoreDiff

Calculate average score differences for competing ensemble forecasts.
Corr

Correlation coefficient of the ensemble mean.
EnsSkillScore

Calculate Brier skill score or continous ranked probability skill score for competing ensemble forecasts.
DressEnsemble

Ensemble dressing
FairBrier

Fair Brier Score for ensemble forecasts.
DressCrpss

Calculate continous ranked probability skill score (CRPSS), comparing two dressed ensemble forecasts.
FairCrps

Fair continuously ranked probability score (CRPS) for ensemble forecasts.
Rankhist

Rank histogram for ensemble forecasts
DressScores

Scores for forecast ensembles dressed with Gaussian kernels.
specs-verification-package

Verification routines for the SPECS FP7 project
GaussCrps

Continuously ranked probability score (CRPS) for probabilistic forecasts issued as Gaussian distributions.
Detrend

Auxiliary function for removing trends and mean from observation vector or ensemble matrix or data.frame.
GaussCrpsDiff

Calculate average score differences for competing probabilistic forecasts.
DressIgnSs

Calculate Ignorance skill score, comparing two dressed ensemble forecasts.
FairRpsDiff

Calculate average score differences for competing ensemble forecasts.
TestRankhist

Statistical tests for rank histograms
PlotDressedEns

Plot a series forecast distributions of dressed ensembles
FitAkdParameters

Fit parameters for affine kernel dressing
ReliabilityDiagram

Reliability diagram for probability forecasts
Preprocess

Preprocess data for use with SpecsVerification.
FairScoreDiff

Calculate average score differences for competing ensemble forecasts.
GaussCrpss

Calculate CRPSS for competing Gaussian probabilistic forecasts.
EnsRps

Ranked Probability Score for ensemble forecasts.
GaussCrpsDecomposition

Decomposition of the continuously ranked probability score for Gaussian forecasts into Reliability, Resolution and Uncertainty
FairRps

Fair Ranked Probability Score for ensemble forecasts.
PlotRankhist

Plotting function for rank histograms
EnsBrier

Brier Score for ensemble forecasts.
BrierScoreDecomposition

Brier Score Decomposition
GenerateToyData

Generate toy data for ensemble verification.
DressScoreDiff

Calculate average score differences for competing dressed ensemble forecasts.
EnsRpsDiff

Calculate average score differences for competing ensemble forecasts.
FairRpss

Calculate fair ranked probability skill score for competing ensemble forecasts.
GetDensity

Calculate density and integrated density function of a dressed ensemble forecast