mxRegularizeLASSO: MxRegularizeLASSO
In trbrick/mxregsem: Regularization of models in OpenMx
View source: R/mxPenaltyFunctions.R
Description
Least Absolute Selection and Shrinkage Operator regularization
Usage
1
2
3
4
5
6
7
8
mxRegularizeLASSO(
what,
name,
lambda = 0,
lambda.step = 0.01,
lambda.max = NA,
lambda.min = NA
)
Arguments
what
A list of parameters to regularize
name
Name of the regularizer object
lambda
strength of the penalty to be applied at starting values (default 0)
lambda.step
step function for lambda step (default .01)
lambda.max
end of lambda range (default .4)
lambda.min
minimum lambda value (default lambda)
trbrick/mxregsem documentation built on Nov. 18, 2020, 7:30 p.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.
View source: R/mxPenaltyFunctions.R
Description
Least Absolute Selection and Shrinkage Operator regularization
Usage
1 2 3 4 5 6 7 8 | mxRegularizeLASSO(
what,
name,
lambda = 0,
lambda.step = 0.01,
lambda.max = NA,
lambda.min = NA
)
|
Arguments
what |
A list of parameters to regularize |
name |
Name of the regularizer object |
lambda |
strength of the penalty to be applied at starting values (default 0) |
lambda.step |
step function for lambda step (default .01) |
lambda.max |
end of lambda range (default .4) |
lambda.min |
minimum lambda value (default lambda) |
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.