KernFun: Local likelihood kernel functions.
In LocalCop: Local Likelihood Inference for Conditional Copula Models
KernFun R Documentation
Local likelihood kernel functions.
Description
Local likelihood kernel functions.
Usage
KernEpa(t)
KernGaus(t)
KernBeta(t, par = 0.5)
KernBiQuad(t)
KernTriAng(t)
Arguments
t
Vector of distances from mode of kernel.
par
Shape parameter for Beta kernel (positive scalar).
Details
Describe kernels here.
Value
Vector of kernel weights.
LocalCop documentation built on Sept. 13, 2024, 1:12 a.m.
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| KernFun | R Documentation |
Local likelihood kernel functions.
Description
Local likelihood kernel functions.
Usage
KernEpa(t)
KernGaus(t)
KernBeta(t, par = 0.5)
KernBiQuad(t)
KernTriAng(t)
Arguments
t |
Vector of distances from mode of kernel. |
par |
Shape parameter for Beta kernel (positive scalar). |
Details
Describe kernels here.
Value
Vector of kernel weights.
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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