kernel: Epanechnikov kernel
In SCEM: Splitting-Coalescence-Estimation Method
Description
Usage
Arguments
Value
References
Examples
Description
Calculates the value of the Epanechnikov kernel function for any vector.
Usage
1
kernel(v)
Arguments
v
A vector of real numbers.
Value
A vector of the calculated kernel values for the input vector.
References
Epanechnikov, V. A. (1969). Non-parametric estimation of a multivariate probability density. Theory of Probability and its Applications, 14(1), 153-6.
Examples
1
2
SCEM documentation built on Sept. 5, 2021, 5:50 p.m.
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Description Usage Arguments Value References Examples
Description
Calculates the value of the Epanechnikov kernel function for any vector.
Usage
1 | kernel(v)
|
Arguments
v |
A vector of real numbers. |
Value
A vector of the calculated kernel values for the input vector.
References
Epanechnikov, V. A. (1969). Non-parametric estimation of a multivariate probability density. Theory of Probability and its Applications, 14(1), 153-6.
Examples
1 2 |
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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