betaDiv: Compute the Kullback-Leibler divergence between the beta and...
In PoolBal: Balancing Central and Marginal Rejection of Pooled p-Values
betaDiv R Documentation
Compute the Kullback-Leibler divergence between the beta
and uniform distributions
Description
Computes the Kullback-Leibler divergence for the
special case of the uniform density against the beta density.
Usage
betaDiv(a, w = (1 - a)/(b - a), b = 1/w + a * (1 - 1/w))
Arguments
a
first shape parameter between 0 and infinity
w
UMP parameter between 0 and 1
b
second shape parameter between 0 and infinity
Details
This function accepts either the a/b parameterization
(equivalent to shape1/shape2 in R), or the a/w parameterization
which links the divergence to the UMP test.
Value
A real value.
Author(s)
Chris Salahub
Examples
betaDiv(a = 0.5, w = 0.5)
betaDiv(a = 0.1, b = 1)
PoolBal documentation built on Nov. 22, 2023, 5:07 p.m.
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| betaDiv | R Documentation |
Compute the Kullback-Leibler divergence between the beta and uniform distributions
Description
Computes the Kullback-Leibler divergence for the special case of the uniform density against the beta density.
Usage
betaDiv(a, w = (1 - a)/(b - a), b = 1/w + a * (1 - 1/w))
Arguments
a |
first shape parameter between 0 and infinity |
w |
UMP parameter between 0 and 1 |
b |
second shape parameter between 0 and infinity |
Details
This function accepts either the a/b parameterization (equivalent to shape1/shape2 in R), or the a/w parameterization which links the divergence to the UMP test.
Value
A real value.
Author(s)
Chris Salahub
Examples
betaDiv(a = 0.5, w = 0.5)
betaDiv(a = 0.1, b = 1)
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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