kernel: Kernel evaluation
In ibr: Iterative Bias Reduction
kernel R Documentation
Kernel evaluation
Description
Evaluate the kernel function at x: Gaussian, Epanechnikov,
Uniform, Quartic. This function is not intended to be used directly.
Usage
gaussien(X)
epane(X)
uniform(X)
quartic(X)
Arguments
X
The value where the function has to be evaluate, should be a
numeric and can be a scalar, a vector or a matrix
Value
Returns a scalar, a vector or a matrix which coordinates are the values of
the kernel at the given coordinate
Author(s)
Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.
See Also
ibr
ibr documentation built on Sept. 13, 2023, 5:08 p.m.
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| kernel | R Documentation |
Kernel evaluation
Description
Evaluate the kernel function at x: Gaussian, Epanechnikov, Uniform, Quartic. This function is not intended to be used directly.
Usage
gaussien(X)
epane(X)
uniform(X)
quartic(X)
Arguments
X |
The value where the function has to be evaluate, should be a numeric and can be a scalar, a vector or a matrix |
Value
Returns a scalar, a vector or a matrix which coordinates are the values of the kernel at the given coordinate
Author(s)
Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.
See Also
ibr
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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