soft_thresholding: Soft Thresholding
In ShiVa: Detection of Evolutionary Shifts in Both Optimal Value and Variance
soft_thresholding R Documentation
Soft Thresholding
Description
Applies the soft thresholding operation to a numeric input, commonly used in Lasso and sparse modeling to induce shrinkage and sparsity.
Usage
soft_thresholding(z, lambda)
Arguments
z
A numeric value to be thresholded.
lambda
A non-negative numeric value indicating the threshold level (degree of shrinkage).
Value
A numeric value after applying soft thresholding:
\text{sign}(z) \cdot \max(|z| - \lambda, 0).
ShiVa documentation built on Aug. 22, 2025, 9:14 a.m.
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| soft_thresholding | R Documentation |
Soft Thresholding
Description
Applies the soft thresholding operation to a numeric input, commonly used in Lasso and sparse modeling to induce shrinkage and sparsity.
Usage
soft_thresholding(z, lambda)
Arguments
z |
A numeric value to be thresholded. |
lambda |
A non-negative numeric value indicating the threshold level (degree of shrinkage). |
Value
A numeric value after applying soft thresholding:
\text{sign}(z) \cdot \max(|z| - \lambda, 0).
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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