Mathematical and statistical functions for the Epanechnikov kernel defined by the
pdf,
distr6::Distribution
-> distr6::Kernel
-> Epanechnikov
name
Full name of distribution.
short_name
Short name of distribution for printing.
description
Brief description of the distribution.
pdfSquared2Norm()
The squared 2-norm of the pdf is defined by
Epanechnikov$pdfSquared2Norm(x = 0, upper = Inf)
x
(numeric(1))
Amount to shift the result.
upper
(numeric(1))
Upper limit of the integral.
cdfSquared2Norm()
The squared 2-norm of the cdf is defined by
Epanechnikov$cdfSquared2Norm(x = 0, upper = 0)
x
(numeric(1))
Amount to shift the result.
upper
(numeric(1))
Upper limit of the integral.
variance()
The variance of a distribution is defined by the formula
Epanechnikov$variance(...)
...
Unused.
clone()
The objects of this class are cloneable with this method.
Epanechnikov$clone(deep = FALSE)
deep
Whether to make a deep clone.
The quantile function is omitted as no closed form analytic expressions could be found, decorate with FunctionImputation for numeric results.
Other kernels:
Cosine
,
LogisticKernel
,
NormalKernel
,
Quartic
,
Sigmoid
,
Silverman
,
TriangularKernel
,
Tricube
,
Triweight
,
UniformKernel