fc_empirical: A forecast from an empirical CDF
In kdayday/forecasting: Probabilistic Solar Forecsting
Description
Usage
Arguments
Value
See Also
View source: R/prob_forecast.R
Description
Initialize a forecast using an empirical (stepped, not interpolated) CDF of a
training set. Can be applied for a climatology, raw ensemble, or persistence
ensemble type forecast.
Usage
1
fc_empirical(data.input, location, time, ...)
Arguments
data.input
A numeric vector of training data
location
A string
time
A lubridate time stamp
Value
A probabilistic forecast object
See Also
Other forecast classes: fc_binned,
fc_bma, fc_emos
kdayday/forecasting documentation built on Oct. 7, 2020, 7:16 p.m.
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Description Usage Arguments Value See Also
View source: R/prob_forecast.R
Description
Initialize a forecast using an empirical (stepped, not interpolated) CDF of a training set. Can be applied for a climatology, raw ensemble, or persistence ensemble type forecast.
Usage
1 | fc_empirical(data.input, location, time, ...)
|
Arguments
data.input |
A numeric vector of training data |
location |
A string |
time |
A lubridate time stamp |
Value
A probabilistic forecast object
See Also
Other forecast classes: fc_binned,
fc_bma, fc_emos
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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