Package: easyVerification 0.4.5

easyVerification: Ensemble Forecast Verification for Large Data Sets

Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large data sets. The forecast metrics are imported from the 'SpecsVerification' package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.

Authors:MeteoSwiss [aut, cph], Jonas Bhend [cre], Jacopo Ripoldi [ctb], Claudia Mignani [ctb], Irina Mahlstein [ctb], Rebecca Hiller [ctb], Christoph Spirig [ctb], Mark Liniger [ctb], Andreas Weigel [ctb], Joaqu'in Bedia Jimenez [ctb], Matteo De Felice [ctb], Stefan Siegert [ctb], Katrin Sedlmeier [ctb]

# Install 'easyVerification' in R:

install.packages('easyVerification', repos = c('https://jonasbhend.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonasbhend/easyverification/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

6.30 score 1 stars 7 packages 63 scripts 301 downloads 26 exports 4 dependencies

Last updated from:97c0b0c2d9. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	130
linux-devel-x86_64	OK	119
source / vignettes	OK	193
linux-release-arm64	OK	151
linux-release-x86_64	OK	137
macos-release-arm64	OK	98
macos-release-x86_64	OK	283
macos-oldrel-arm64	OK	85
macos-oldrel-x86_64	OK	220
windows-devel	OK	109
windows-release	OK	106
windows-oldrel	OK	106
wasm-release	OK	99

Exports:climFairRpss convert2prob count2prob Ens2AFC EnsCorr EnsError EnsErrorss EnsIgn EnsIgnss EnsMae EnsMaess EnsMe EnsMse EnsMsess EnsRmse EnsRmsess EnsRoca EnsRocss EnsSprErr FairSprErr generateRef indRef size toyarray toymodel veriApply

Dependencies:pbapply Rcpp RcppArmadillo SpecsVerification

Verification of seasonal forecasts from the ECOMS User Data Gateway: a worked example

Rendered fromecoms_forecast_verification.pdf.asisusingR.rsp::asis

Last update: 2015-10-15
Started: 2015-10-15

Help page	Topics
Change Function Default Arguments	changearg
Calculate Fair Ranked Probability Skill Score Against Climatological Reference Forecast.	climFairRpss
Convert to Probability / Category Forecast	convert2prob expandthresh prob2thresh
Convert Ensemble Counts to Probabilities	count2prob
Ensemble Forecast Verification for Large Data Sets	easyVerification
Generalized Discrimination Score	Ens2AFC rank.ensembles
Correlation with Ensemble Mean	EnsCorr
Ensemble Mean Error	EnsError EnsMae EnsMe EnsMse EnsRmse
Ensemble Mean Error Skill scores	EnsErrorss EnsMaess EnsMsess EnsRmsess
Ignorance Score	EnsIgn EnsIgnss
Area Under the ROC Curve	EnsRoca EnsRocss oldEnsRoca
Spread to Error Ratio	EnsSprErr
Fair Spread to Error Ratio	FairSprErr
Generate Probabilistic Climatological Ensemble Forecast from Observations	generateRef indRef
Size of Array or Vector	size
Create Example Forecast-Observation Pairs	toyarray toymodel
Apply Verification Metrics to Large Datasets	veriApply
Unwrap Arguments and Hand Over to Verification Function	veriUnwrap
Compute Reliability Categories as in Weisheimer et al. (2014)	weisheimer

Package: easyVerification 0.4.5

easyVerification: Ensemble Forecast Verification for Large Data Sets

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