make_precon: Create an inverse preconditioner
In wilson-ye-chen/stein.thinning: Stein Thinning
Description
Usage
Arguments
Value
Description
Create an inverse preconditioner
Usage
1
make_precon(smp, scr, pre = "id")
Arguments
smp
n-by-d matrix of n d-dimensional sample points.
scr
n-by-d matrix of gradients of log target at smp.
pre
optional string, either "id" (default), "med", "sclmed", or
"smpcov", specifying the preconditioner to be used. Alternatively,
a numeric string can be passed as the single length-scale parameter
of an isotropic kernel.
Value
inverse preconditioner, d-by-d 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
Create an inverse preconditioner
Usage
1 | make_precon(smp, scr, pre = "id")
|
Arguments
smp |
n-by-d matrix of n d-dimensional sample points. |
scr |
n-by-d matrix of gradients of log target at |
pre |
optional string, either "id" (default), "med", "sclmed", or "smpcov", specifying the preconditioner to be used. Alternatively, a numeric string can be passed as the single length-scale parameter of an isotropic kernel. |
Value
inverse preconditioner, d-by-d 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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