huberloss: Huber Loss
In MTE: Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection
huberloss R Documentation
Huber Loss
Description
Huber Loss
Usage
huberloss(r, alpha)
Arguments
r
residual, y-Xbeta
alpha
1/alpha is the huber tuning parameter delta. Larger alpha results in smaller portion of squared loss.
Value
it returns huber loss that will be called in Huber estimation.
MTE documentation built on April 11, 2023, 6:11 p.m.
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| huberloss | R Documentation |
Huber Loss
Description
Huber Loss
Usage
huberloss(r, alpha)
Arguments
r |
residual, y-Xbeta |
alpha |
1/alpha is the huber tuning parameter delta. Larger alpha results in smaller portion of squared loss. |
Value
it returns huber loss that will be called in Huber estimation.
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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