tdot: Student's T (kernlab compatible)
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Examples
Description
This is an additional kernel function that can be used with kernlab functions.
The Student's T kernel is defined as
\frac{1}{1 + \frac{||x-y||^nu }}
Usage
1
tdot(nu)
Arguments
sigma
a scale parameter
Value
a kernel class function
Examples
1
tdot(1) # yields the cauchy kernel
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value Examples
Description
This is an additional kernel function that can be used with kernlab functions. The Student's T kernel is defined as
\frac{1}{1 + \frac{||x-y||^nu }}
Usage
1 | tdot(nu)
|
Arguments
sigma |
a scale parameter |
Value
a kernel class function
Examples
1 | tdot(1) # yields the cauchy kernel
|
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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