bias: Bias
In sangeetabhatia03/assessr: Performance metrics for probabilitic forecasts
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Bias in probabilistic forecasts
Usage
1
bias(obs, pred)
Arguments
obs
observed vector T X 1
pred
Simulated predictions T X N. Each column is a simulation.
Details
Bias is measured as
2 * mean((heaviside(obs - pred)) - 0.5)
where heaviside returns 1 if the arg is positive, 0 if this negative
and 0.5 if it is 0. The average is taken over all simulations.
Value
vector of length T.
Author(s)
Sangeeta Bhatia
References
https://doi.org/10.1371/journal.pcbi.1006785
sangeetabhatia03/assessr documentation built on Aug. 22, 2020, 9:32 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
Bias in probabilistic forecasts
Usage
1 | bias(obs, pred)
|
Arguments
obs |
observed vector T X 1 |
pred |
Simulated predictions T X N. Each column is a simulation. |
Details
Bias is measured as
2 * mean((heaviside(obs - pred)) - 0.5)
where heaviside returns 1 if the arg is positive, 0 if this negative and 0.5 if it is 0. The average is taken over all simulations.
Value
vector of length T.
Author(s)
Sangeeta Bhatia
References
https://doi.org/10.1371/journal.pcbi.1006785
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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