gtdot: Generalized T Kernel (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 generalized t kernel is defined as
\frac{1}{1 + ||x-y||^k}
,
where k is the norm value.
Usage
1
Arguments
k
the value for the norm. defaults to 3.
sigma
the scale parameter
Value
a kernel class function
Examples
1
gtdot(4, 1)
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 generalized t kernel is defined as
\frac{1}{1 + ||x-y||^k}
, where k is the norm value.
Usage
1 |
Arguments
k |
the value for the norm. defaults to 3. |
sigma |
the scale parameter |
Value
a kernel class function
Examples
1 | gtdot(4, 1)
|
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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