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

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

... 
additional arguments for compatibility with other scores 
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