kerMat: Epanechnikov quadratic kernel matrix
In spc4sts: Statistical Process Control for Stochastic Textured Surfaces
kerMat R Documentation
Epanechnikov quadratic kernel matrix
Description
Computes the Epanechnikov quadratic kernel in 2-D, and returns the positive kernel values.
Usage
kerMat(p)
Arguments
p
the bandwidth parameter
Value
A matrix containing all the positive kernel values
Author(s)
Anh Bui
References
Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.
See Also
bp
Examples
kerMat(5)
spc4sts documentation built on May 24, 2022, 5:07 p.m.
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| kerMat | R Documentation |
Epanechnikov quadratic kernel matrix
Description
Computes the Epanechnikov quadratic kernel in 2-D, and returns the positive kernel values.
Usage
kerMat(p)
Arguments
p |
the bandwidth parameter |
Value
A matrix containing all the positive kernel values
Author(s)
Anh Bui
References
Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.
See Also
bp
Examples
kerMat(5)
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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