lasso: helper function to implement lasso penalty
In plmmr: Penalized Linear Mixed Models for Correlated Data
lasso R Documentation
helper function to implement lasso penalty
Description
helper function to implement lasso penalty
Usage
lasso(z, l1, l2, v)
Arguments
z
solution over active set at each feature
l1
upper bound
l2
lower bound
v
the 'xtx' term
Value
numeric vector of the lasso-penalized coefficient estimates within the given bounds
plmmr documentation built on April 4, 2025, 12:19 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.
| lasso | R Documentation |
helper function to implement lasso penalty
Description
helper function to implement lasso penalty
Usage
lasso(z, l1, l2, v)
Arguments
z |
solution over active set at each feature |
l1 |
upper bound |
l2 |
lower bound |
v |
the 'xtx' term |
Value
numeric vector of the lasso-penalized coefficient estimates within the given bounds
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.