deviate_wave: Return a deviate vector with a wave-shape trend
In flatness: Indices and Tests for Assessing the Flatness of (Rank) Histograms
Description
Usage
Arguments
Details
Value
References
Description
This function returns a deviate vector with the right properties to test the
presence of a deviate to flatness with a sine trend in a rank histogram, as
introduced in (Zamo et al. 2021) or (Zamo, 2016).
Usage
1
deviate_wave(k)
Arguments
k
an integer. The number of components.
Details
Although the deviate vector is not a rank histogram, this function returns
an rkhist object for the sake of simplicity. This allows for instance
to plot the vector.
Value
An rkhist object.
References
Jolliffe, Ian T., and Cristina Primo. "Evaluating rank histograms using
decompositions of the chi-square test statistic." Monthly Weather
Review 136.6 (2008): 2133-2139. doi:https://doi.org/10.1175/2007MWR2219.1
Zamo, Michaël, Liliane Bel, and Olivier Mestre. "Sequential aggregation of
probabilistic forecasts—application to wind speed ensemble forecasts."
Journal of the Royal Statistical Society: Series C (Applied Statistics) 70.1
(2021): 202-225. doi:https://doi.org/10.1111/rssc.12455
Zamo, Michaël. Statistical Post-processing of Deterministic and Ensemble
Wind Speed Forecasts on a Grid. Diss. Université Paris-Saclay (ComUE), 2016.
flatness documentation built on June 29, 2021, 9:08 a.m.
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Description Usage Arguments Details Value References
Description
This function returns a deviate vector with the right properties to test the presence of a deviate to flatness with a sine trend in a rank histogram, as introduced in (Zamo et al. 2021) or (Zamo, 2016).
Usage
1 | deviate_wave(k)
|
Arguments
k |
an integer. The number of components. |
Details
Although the deviate vector is not a rank histogram, this function returns
an rkhist object for the sake of simplicity. This allows for instance
to plot the vector.
Value
An rkhist object.
References
Jolliffe, Ian T., and Cristina Primo. "Evaluating rank histograms using decompositions of the chi-square test statistic." Monthly Weather Review 136.6 (2008): 2133-2139. doi:https://doi.org/10.1175/2007MWR2219.1
Zamo, Michaël, Liliane Bel, and Olivier Mestre. "Sequential aggregation of probabilistic forecasts—application to wind speed ensemble forecasts." Journal of the Royal Statistical Society: Series C (Applied Statistics) 70.1 (2021): 202-225. doi:https://doi.org/10.1111/rssc.12455
Zamo, Michaël. Statistical Post-processing of Deterministic and Ensemble Wind Speed Forecasts on a Grid. Diss. Université Paris-Saclay (ComUE), 2016.
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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