dot-rPlog: Generate from logistic Y \sim {P_x}, where P_{x} is...
In mev: Modelling of Extreme Values
.rPlog R Documentation
Generate from logistic Y \sim {P_x}, where
P_{x} is probability of extremal function scaled by a Frechet variate
Description
Generate from logistic Y \sim {P_x}, where
P_{x} is probability of extremal function scaled by a Frechet variate
Usage
.rPlog(d, index, theta)
Arguments
d
dimension of the 1-sample
index
index of the location. An integer in 0, ..., d-1
theta
a one-dimensional parameter for the logistic model, strictly greater than 1.
Value
a d-vector from P_x
mev documentation built on April 20, 2023, 5:10 p.m.
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| .rPlog | R Documentation |
Generate from logistic Y \sim {P_x}, where
P_{x} is probability of extremal function scaled by a Frechet variate
Description
Generate from logistic Y \sim {P_x}, where
P_{x} is probability of extremal function scaled by a Frechet variate
Usage
.rPlog(d, index, theta)
Arguments
d |
dimension of the 1-sample |
index |
index of the location. An integer in 0, ..., |
theta |
a one-dimensional parameter for the logistic model, strictly greater than 1. |
Value
a d-vector from P_x
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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