KernFun: Local likelihood kernel functions.
In mlysy/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.
mlysy/LocalCop documentation built on Sept. 29, 2024, 9:13 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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