dot-rPbilog: Generate from bilogistic Y \sim {P_x}, where P_{x} is the...
In mev: Modelling of Extreme Values
.rPbilog R Documentation
Generate from bilogistic Y \sim {P_x}, where
P_{x} is the probability of extremal functions
Description
Generate from bilogistic Y \sim {P_x}, where
P_{x} is the probability of extremal functions
Usage
.rPbilog(d, index, alpha)
Arguments
d
dimension of the 1-sample
index
index of the location. An integer in 0, ..., d-1
alpha
a d dimensional vector of positive parameter values for the Dirichlet vector
Value
a d-vector from P_x
mev documentation built on April 20, 2023, 5:10 p.m.
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| .rPbilog | R Documentation |
Generate from bilogistic Y \sim {P_x}, where
P_{x} is the probability of extremal functions
Description
Generate from bilogistic Y \sim {P_x}, where
P_{x} is the probability of extremal functions
Usage
.rPbilog(d, index, alpha)
Arguments
d |
dimension of the 1-sample |
index |
index of the location. An integer in 0, ..., |
alpha |
a |
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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