fit_gp_gev: Helper Function to Fit Extracted Observations
In Kinekenneth48/rdailychange: Daily Change Method for Spatial Data
Description
Usage
Arguments
Value
Description
This function allows the user to fit a Generalized Extreme Value
(GEV) or a Generalized Pareto (GP) distribution to the
extracted observations. the function does not fit Measurement locations
with less than 30.
Usage
1
fit_gp_gev(list, type = "GEV")
Arguments
list
A list object of extracted observations.
type
The type of distribution (GEV or GP) to fit to the observations.
The default is GEV.
Value
A fit summary with measurement location metadata , MRIs and Annual
MRI ratios
Kinekenneth48/rdailychange documentation built on Dec. 18, 2021, 3:34 a.m.
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Description Usage Arguments Value
Description
This function allows the user to fit a Generalized Extreme Value (GEV) or a Generalized Pareto (GP) distribution to the extracted observations. the function does not fit Measurement locations with less than 30.
Usage
1 | fit_gp_gev(list, type = "GEV")
|
Arguments
list |
A list object of extracted observations. |
type |
The type of distribution (GEV or GP) to fit to the observations. The default is GEV. |
Value
A fit summary with measurement location metadata , MRIs and Annual MRI ratios
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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