Mean_Excess_Plot: Mean excess plot - GPD threshold selection
In rjaneUCF/MultiHazard: Tools for modeling compound events
View source: R/Mean_Excess_Plot.R
Mean_Excess_Plot R Documentation
Mean excess plot - GPD threshold selection
Description
The empirical mean excess function is linear in the case of a GPD.
Usage
Mean_Excess_Plot(Data)
Arguments
data
A vector comprising a declustered and if necessary detrended time series to be modelled.
Value
Plot of the empirical mean excess function (black line), average of all observations exceeding a threshold decreased by the threshold, for thresholds spanning the range of the observations. Also provided are 95% confidence intervals (blue dotted lines) and the observations (black dots).
See Also
Decluster Detrend
Examples
Mean_Excess_Plot(Data=S20_Detrend_Declustered_df$Rainfall)
rjaneUCF/MultiHazard documentation built on March 29, 2025, 3:22 p.m.
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View source: R/Mean_Excess_Plot.R
| Mean_Excess_Plot | R Documentation |
Mean excess plot - GPD threshold selection
Description
The empirical mean excess function is linear in the case of a GPD.
Usage
Mean_Excess_Plot(Data)
Arguments
data |
A vector comprising a declustered and if necessary detrended time series to be modelled. |
Value
Plot of the empirical mean excess function (black line), average of all observations exceeding a threshold decreased by the threshold, for thresholds spanning the range of the observations. Also provided are 95% confidence intervals (blue dotted lines) and the observations (black dots).
See Also
Decluster Detrend
Examples
Mean_Excess_Plot(Data=S20_Detrend_Declustered_df$Rainfall)
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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