psi.huber: Derivative of Huber's loss function.
In rmargint: Robust Marginal Integration Procedures
psi.huber R Documentation
Derivative of Huber's loss function.
Description
This function evaluates the first derivative of Huber's loss function.
Usage
psi.huber(r, k = 1.345)
Arguments
r
A vector of real numbers.
k
A positive tuning constant.
Details
This function evaluates the first derivative of Huber's loss function.
Value
A vector of the same length as r.
Author(s)
Matias Salibian-Barrera, matias@stat.ubc.ca, Alejandra Martinez
Examples
x <- seq(-2, 2, length=10)
psi.huber(r=x, k = 1.5)
rmargint documentation built on Oct. 24, 2023, 1:06 a.m.
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.
| psi.huber | R Documentation |
Derivative of Huber's loss function.
Description
This function evaluates the first derivative of Huber's loss function.
Usage
psi.huber(r, k = 1.345)
Arguments
r |
A vector of real numbers. |
k |
A positive tuning constant. |
Details
This function evaluates the first derivative of Huber's loss function.
Value
A vector of the same length as r.
Author(s)
Matias Salibian-Barrera, matias@stat.ubc.ca, Alejandra Martinez
Examples
x <- seq(-2, 2, length=10)
psi.huber(r=x, k = 1.5)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.