R: Ignorance Score

EnsIgn {easyVerification} | R Documentation

## Ignorance Score

### Description

Computes the ignorance score `EnsIgn` and skill score `EnsIgnss` for an interpretation of the ensemble as a probability forecast

### Usage

    EnsIgn(ens, obs, type = 3, ...)

    EnsIgnss(ens, ens.ref, obs, type = 3)

### Arguments

`ens` | n x j matrix of n probability forecasts for j categories
`obs` | n x j matrix of occurrence of n verifying observations in j categories
`type` | selection of plotting positions to convert ensemble counts to probabilities (default to 3, see `count2prob`
`...` | additional arguments for consistency with other functions (not used)
`ens.ref` | n x j matrix of n probability forecasts for j categories

### References

Wilks, D.S. (2011). Statistical methods in the atmospheric sciences (Third Edition). Academic press. Jolliffe, I.T. and D.B. Stephenson (2012). Forecast Verification. A Practitioner's Guide in Atmospheric Science. Wiley-Blackwell.

### See Also

`veriApply`, `count2prob`

### Examples

    tm <- toymodel()

    ## compute ignorance score for tercile forecasts
    veriApply("EnsIgn", fcst=tm$fcst, obs=tm$obs, prob=1:2/3)

    ## compute skill score
    veriApply("EnsIgnss", fcst=tm$fcst, obs=tm$obs, prob=1:2/3)

[Package easyVerification version 0.4.4 Index]