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

weisheimer {easyVerification} | R Documentation

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

### 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

    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

[Package easyVerification version 0.4.4 Index]