ry_bing: Helper Function for Sampling a Bingham-distributed Vector
In rstiefel: Random Orthonormal Matrix Generation and Optimization on the Stiefel Manifold
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
C interface to perform a Gibbs update of y with invariant
distribution proportional to exp( sum(l*y^2) with respect to the
uniform measure on the sphere.
Usage
1
ry_bing(y, l)
Arguments
y
a normal vector.
l
a vector.
Value
a normal vector.
Author(s)
Peter Hoff
References
Hoff(2009)
Examples
1
2
3
4
5
## The function is currently defined as
function (y, l)
{
.C("ry_bing", y = as.double(y), l = as.double(l), n = as.integer(length(y)))$y
}
rstiefel documentation built on June 15, 2021, 5:07 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
C interface to perform a Gibbs update of y with invariant
distribution proportional to exp( sum(l*y^2) with respect to the
uniform measure on the sphere.
Usage
1 | ry_bing(y, l)
|
Arguments
y |
a normal vector. |
l |
a vector. |
Value
a normal vector.
Author(s)
Peter Hoff
References
Hoff(2009)
Examples
1 2 3 4 5 | ## The function is currently defined as
function (y, l)
{
.C("ry_bing", y = as.double(y), l = as.double(l), n = as.integer(length(y)))$y
}
|
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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