Learn R Programming

⚠️There's a newer version (1.45) of this package.Take me there.

verification (version 1.41)

Weather Forecast Verification Utilities.

Description

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

Copy Link

Version

Install

install.packages('verification')

Monthly Downloads

1,940

Version

1.41

License

GPL (>= 2)

Maintainer

Eric Gilleland

Last Published

December 24th, 2014

Functions in verification (1.41)

value

Forecast Value Function
discrimination.plot

Discrimination plot
precip.ensemble

An ensemble of precipitation forecasts
lines.verify

Add lines to ROC or attribute diagrams
brier

Brier Score
leps

Linear Error in Probability Space (LEPS)
reliability.plot

Reliability Plot
performance.diagram

Performance Diagram
check.func

check loss function
predcomp.test

Time Series Prediction Comparison Test
conditional.quantile

Conditional Quantile Plot
attribute

Attribute plot
crps

Continuous Ranked Probability Score
disc.dat

Discrimination plot dataset.
quantile2disc

Convert Continuous Forecast Values to Discrete Forecast Values.
measurement.error

Skill score with measurement error.
prob.frcs.dat

Probablisitic Forecast Dataset.
roc.plot

Relative operating characteristic curve.
quantileScore

Quantile Score
observation.error

Observation Error
roc.area

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

Quantile Reliability Plot
crpsDecompostion

Decompostion of Continuous Ranked Probability Score
pop

Probability of precipitation (pop) data.
rps

Ranked Probability Score
fss

Fractional Skill Score
table.stats

Verification statistics for a 2 by 2 Contingency Table
verify

Verification function
table.stats.boot

Percentile bootstrap for 2 by 2 table
multi.cont

Multiple Contingency Table Statistics
rcrv

Reduced centered random variable
verify-internal

Verification internal and secondary functions
probcont2disc

Converts continuous probability values into binned discrete probability forecasts.