qwCRPS: Calculate quantile-weighted CRPS
In kdayday/solarbenchmarks: Intra-Hour and Intra-Day Probabilistic Solar Forecast Benchmarks
Description
Usage
Arguments
Value
View source: R/evaluation_functions.R
Description
Get the quantile-weighted CRPS (continuous ranked probability score) for the
forecast, estimated by trapezoidal integration of its quantile decomposition.
Can be weighted or unweighted (default).
Usage
1
qwCRPS(fc, tel, sun_up, weighting = "none")
Arguments
fc
A [valid time x quantile] matrix of probabilistic quantile
forecasts, with column names giving the [0,1] percentiles of the forecast
tel
A vector of the telemetry values
sun_up
Logical vector of whether sun is up across the forecast times
weighting
One of "none" (default), "tails", "right", "left", "center"
Value
The weighted CRPS
kdayday/solarbenchmarks documentation built on May 22, 2020, 10:33 p.m.
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Description Usage Arguments Value
View source: R/evaluation_functions.R
Description
Get the quantile-weighted CRPS (continuous ranked probability score) for the forecast, estimated by trapezoidal integration of its quantile decomposition. Can be weighted or unweighted (default).
Usage
1 | qwCRPS(fc, tel, sun_up, weighting = "none")
|
Arguments
fc |
A [valid time x quantile] matrix of probabilistic quantile forecasts, with column names giving the [0,1] percentiles of the forecast |
tel |
A vector of the telemetry values |
sun_up |
Logical vector of whether sun is up across the forecast times |
weighting |
One of "none" (default), "tails", "right", "left", "center" |
Value
The weighted CRPS
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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