weisheimer: Compute Reliability Categories as in Weisheimer et al. (2014)

Description Usage Arguments

View source: R/weisheimer.R

Description

This function implements the reliability categorization for forecasts of binary events as documented in Weisheimer et al. (2014). It has only been implemented for category forecasts with categories defined relative to the forecast and observed climatological distribution (i.e. without systematic bias).

Usage

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weisheimer(ens, obs, pthresh = 2/3, nboot = 100, brier.thresholds = seq(0,
  1, 0.2), ...)

Arguments

ens

n x k matrix of n forecasts from k ensemble members

obs

n verifying observations

pthresh

probability threshold to convert to category forecasts. If negative, event falling below threshold is used, else, event above threshold is used.

nboot

number of bootstrap replicates to estimate 75 percent confidence interval

brier.thresholds

Thresholds used to bin the forecasts (see brier)

...

additional arguments for compatibility with other scores


easyVerification documentation built on May 2, 2019, 3:43 a.m.