kmat: Compute a Stein kernel matrix
In wilson-ye-chen/stein.thinning: Stein Thinning
Description
Usage
Arguments
Value
Description
Compute a Stein kernel matrix
Usage
1
kmat(x, s, vfk0)
Arguments
x
n-by-d matrix of n d-dimensional sample points.
s
n-by-d matrix of gradients of log target at x.
vfk0
vectorised Stein kernel function.
Value
n-by-n Stein kernel matrix.
wilson-ye-chen/stein.thinning documentation built on Jan. 8, 2022, 11:42 a.m.
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Description Usage Arguments Value
Description
Compute a Stein kernel matrix
Usage
1 | kmat(x, s, vfk0)
|
Arguments
x |
n-by-d matrix of n d-dimensional sample points. |
s |
n-by-d matrix of gradients of log target at |
vfk0 |
vectorised Stein kernel function. |
Value
n-by-n Stein kernel matrix.
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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