UniEmp: Compute the univariate empirical joint probability (EMP)
In drought: Statistical Modeling and Assessment of Drought
UniEmp R Documentation
Compute the univariate empirical joint probability (EMP)
Description
Compute the univariate empirical joint probability (EMP)
Usage
UniEmp(X, dist = "Gringorten")
Arguments
X
The vector of a monthly hydro-climatic variable of n years.
dist
is the function for the plotting position formula (Gringorten or Weibull).
Value
The univariate EMP
Examples
X=runif(20, min = 0, max = 100) # 20 monthly values of precipitation (e.g., August)
fit<-UniEmp(X,dist = "Gringorten")
drought documentation built on May 29, 2024, 10:57 a.m.
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| UniEmp | R Documentation |
Compute the univariate empirical joint probability (EMP)
Description
Compute the univariate empirical joint probability (EMP)
Usage
UniEmp(X, dist = "Gringorten")
Arguments
X |
The vector of a monthly hydro-climatic variable of n years. |
dist |
is the function for the plotting position formula (Gringorten or Weibull). |
Value
The univariate EMP
Examples
X=runif(20, min = 0, max = 100) # 20 monthly values of precipitation (e.g., August)
fit<-UniEmp(X,dist = "Gringorten")
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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