psi.huber: Derivative of Huber's loss function
In alemermartinez/RMI-GitHub: Robust marginal integration
Description
Usage
Arguments
Details
Value
Author(s)
Description
Derivative of Huber's loss function.
Usage
1
psi.huber(r, k = 1.345)
Arguments
r
A real number.
k
Tuning constant.
Details
The weight function used in the re-weighted least squares iterations.
Value
A real number.
Author(s)
Alejandra Martinez, Matias Salibian-Barrera
alemermartinez/RMI-GitHub documentation built on May 9, 2019, 2:21 a.m.
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Description Usage Arguments Details Value Author(s)
Description
Derivative of Huber's loss function.
Usage
1 | psi.huber(r, k = 1.345)
|
Arguments
r |
A real number. |
k |
Tuning constant. |
Details
The weight function used in the re-weighted least squares iterations.
Value
A real number.
Author(s)
Alejandra Martinez, Matias Salibian-Barrera
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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