get_sigma: Estimation of sigma
In rbbnp: A Bias Bound Approach to Non-Parametric Inference
get_sigma R Documentation
Estimation of sigma
Description
Computes the sigma estimate for given parameters.
Usage
get_sigma(X, x, h, inf_k)
Arguments
X
A numerical vector of sample data.
x
A scalar representing the point where the density is estimated.
h
A scalar bandwidth parameter.
inf_k
Kernel function used for the computation.
Value
A scalar representing the sigma estimate at point x. Returns 0 if the density estimate is negative.
rbbnp documentation built on June 8, 2025, 10:46 a.m.
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| get_sigma | R Documentation |
Estimation of sigma
Description
Computes the sigma estimate for given parameters.
Usage
get_sigma(X, x, h, inf_k)
Arguments
X |
A numerical vector of sample data. |
x |
A scalar representing the point where the density is estimated. |
h |
A scalar bandwidth parameter. |
inf_k |
Kernel function used for the computation. |
Value
A scalar representing the sigma estimate at point x. Returns 0 if the density estimate is negative.
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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