beta.cauchy: Function beta for the quasi-Cauchy prior
In stephenslab/EbayesThresh: Empirical Bayes Thresholding and Related Methods
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Given a value or vector x of values, find the value(s) of the
function beta(x) = g(x)/φ(x) - 1 ,
where g is the convolution of the quasi-Cauchy with the normal
density φ(x).
Usage
1
beta.cauchy(x)
Arguments
x
a real value or vector
Value
A vector the same length as x, containing the value(s)
beta(x).
Author(s)
Bernard Silverman
References
See ebayesthresh and
http://www.bernardsilverman.com
See Also
Examples
1
beta.cauchy(c(-2,1,0,-4,8,50))
stephenslab/EbayesThresh documentation built on May 15, 2019, 4:28 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Given a value or vector x of values, find the value(s) of the function beta(x) = g(x)/φ(x) - 1 , where g is the convolution of the quasi-Cauchy with the normal density φ(x).
Usage
1 | beta.cauchy(x)
|
Arguments
x |
a real value or vector |
Value
A vector the same length as x, containing the value(s) beta(x).
Author(s)
Bernard Silverman
References
See ebayesthresh and
http://www.bernardsilverman.com
See Also
Examples
1 | beta.cauchy(c(-2,1,0,-4,8,50))
|
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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