compute_resolution: Compute resolution of forecasts, normalised by the...
In HuraultMisc: Guillem Hurault Functions' Library
Description
Usage
Arguments
Value
Examples
Description
The resolution is computed as the mean squared distance to a base rate (reference forecast) and
is then normalised by the uncertainty (maximum resolution).
This means the output is between 0 and 1, 1 corresponding to the maximum resolution.
Usage
1
compute_resolution(f, p0)
Arguments
f
Vector of forecasts
p0
Vector of base rate.
In the case rate is usually the prevalence of a uniform forecast (e.g. 1 / number of categories)
but can depend on the observation (hence the vector).
Value
Vector of resolution values
Examples
1
compute_resolution(seq(0, 1, .1), 0.5)
HuraultMisc documentation built on Sept. 6, 2021, 9:09 a.m.
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Description Usage Arguments Value Examples
Description
The resolution is computed as the mean squared distance to a base rate (reference forecast) and is then normalised by the uncertainty (maximum resolution). This means the output is between 0 and 1, 1 corresponding to the maximum resolution.
Usage
1 | compute_resolution(f, p0)
|
Arguments
f |
Vector of forecasts |
p0 |
Vector of base rate. In the case rate is usually the prevalence of a uniform forecast (e.g. 1 / number of categories) but can depend on the observation (hence the vector). |
Value
Vector of resolution values
Examples
1 | compute_resolution(seq(0, 1, .1), 0.5)
|
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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