Laplace-Kernel: Quickly calculate a Laplacian 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
LaplaceKernel(X, sigma = 1)
Arguments
X
a matrix of numeric data
sigma
a scale parameter. defaults to 1.
Value
an n-by-n dimensional matrix.
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value
Description
This is an alternative to using kernlab to construct a kernel function.
Usage
1 | LaplaceKernel(X, sigma = 1)
|
Arguments
X |
a matrix of numeric data |
sigma |
a scale parameter. defaults to 1. |
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.
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