findA: Estimate parameter for a given beta KL divergence and UMP...
In PoolBal: Balancing Central and Marginal Rejection of Pooled p-Values
findA R Documentation
Estimate parameter for a given beta KL divergence and UMP
test
Description
Computes the first parameter value for a given KL
divergence and UMP test.
Usage
findA(w, logd = 0, ...)
Arguments
w
UMP parameter between 0 and 1
logd
numeric value, the log KL divergence
...
additional arguments to uniroot
Details
This function uses uniroot to invert the beta divergence
for a given w and return the a value which gives that beta
divergence given the UMP parameter w. The search interval is
specified internally, so should not be passed in using additional
argument.
Value
A real value.
Author(s)
Chris Salahub
Examples
findA(0.5, logd = 0)
PoolBal documentation built on Nov. 22, 2023, 5:07 p.m.
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| findA | R Documentation |
Estimate parameter for a given beta KL divergence and UMP test
Description
Computes the first parameter value for a given KL divergence and UMP test.
Usage
findA(w, logd = 0, ...)
Arguments
w |
UMP parameter between 0 and 1 |
logd |
numeric value, the log KL divergence |
... |
additional arguments to uniroot |
Details
This function uses uniroot to invert the beta divergence for a given w and return the a value which gives that beta divergence given the UMP parameter w. The search interval is specified internally, so should not be passed in using additional argument.
Value
A real value.
Author(s)
Chris Salahub
Examples
findA(0.5, logd = 0)
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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