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verification (version 1.33)

Forecast verification utilities.

Description

This package contains utilities for verification of discrete,continuous, probabilistic forecasts and forecast expressed as parametric distributions.

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Version

Install

install.packages('verification')

Monthly Downloads

1,940

Version

1.33

License

GPL (>= 2)

Maintainer

Eric Gilleland

Last Published

June 22nd, 2012

Functions in verification (1.33)

leps

Linear Error in Probability Space (LEPS)
value

Forecast Value Function
roc.plot

Relative operating characteristic curve.
IS

Alternative Intensity Scale Function
conditional.quantile

Conditional Quantile Plot
int.scale.verify

Intensity-Scale Verification Model
precip.ensemble

An ensemble of precipitation forecasts
observation.error

Observation Error
measurement.error

Skill score with measurement error.
probcont2disc

Converts continuous probability values into binned discrete probability forecasts.
roc.area

Area under curve (AUC) calculation for Response Operating Characteristic curve.
verify

Verification function
lines.verify

Add lines to ROC or attribute diagrams
forecast.dat

Forecast forecast dataset.
lookup

Lookup table for crps.circ.
analysis.dat

Spatial Observation Dataset.
brier

Brier Score
pop

Probability of precipitation (pop) data.
verify-internal

Verification internal and secondary functions
rps

Ranked Probability Score
multi.cont

Multiple Contingency Table Statistics
attribute

Attribute plot
fss

Fractional Skill Score
crpsDecompostion

Decompostion of Continuous Ranked Probability Score
prob.frcs.dat

Probablisitic Forecast Dataset.
discrimination.plot

Discrimination plot
plot.int.scale

Plot Intensity Scale Objects.
rcrv

Reduced centered random variable
crps.circ

CRPS Statistics for circular data
disc.dat

Discrimination plot dataset.
table.stats.boot

Percentile bootstrap for 2 by 2 table
table.stats

Verification statistics for a 2 by 2 Contingency Table
crps

Continuous Ranked Probability Score
performance.diagram

Performance Diagram
reliability.plot

Reliability Plot