Student-single-quote-s-T-Kernel: Quickly calculate a Student T kernel without kernlab
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Description
This is an alternative to using kernlab to construct a kernel function.
Usage
1
StudentTKernel(X, nu = 3)
Arguments
X
a matrix of numeric data
nu
a degrees of freedom parameter. defaults to 3. lower bound is 1 which yields
a Cauchy kernel.
Value
an n-by-n dimensional matrix.
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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.
Description Usage Arguments Value
Description
This is an alternative to using kernlab to construct a kernel function.
Usage
1 | StudentTKernel(X, nu = 3)
|
Arguments
X |
a matrix of numeric data |
nu |
a degrees of freedom parameter. defaults to 3. lower bound is 1 which yields a Cauchy kernel. |
Value
an n-by-n dimensional 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.