logbayesrisk: Bayesian risk of shinkage rule under logistic prior.
In Alexestat/bayesShrink: Bayesian wavelet shrinkage
Description
Usage
Arguments
Value
Examples
Description
Provides the bayesian risk of the wavelet shrinkage rule under logistic prior.
Usage
1
logbayesrisk(alpha, t, s)
Arguments
alpha
Weight of the point mass at zero function of the prior.
t
Scale parameter of the logistic prior.
s
Standard deviation of the normal random noise.
Value
Bayesian risk value of the shrinkage rule.
Examples
1
logbayesrisk(0.9,1,1)
Alexestat/bayesShrink documentation built on Oct. 6, 2020, 12:42 a.m.
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Description Usage Arguments Value Examples
Description
Provides the bayesian risk of the wavelet shrinkage rule under logistic prior.
Usage
1 | logbayesrisk(alpha, t, s)
|
Arguments
alpha |
Weight of the point mass at zero function of the prior. |
t |
Scale parameter of the logistic prior. |
s |
Standard deviation of the normal random noise. |
Value
Bayesian risk value of the shrinkage rule.
Examples
1 | logbayesrisk(0.9,1,1)
|
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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