chooselambda: How to choose tunning parameters in the process for selecting...
In XiaQiong/GMMLasso:
chooselambda R Documentation
How to choose tunning parameters in the process for selecting variables.
Description
How to choose tunning parameters in the process for selecting variables.
Usage
chooselambda(object, d)
Arguments
object
object is the fitted lasso model.
d
d is to measure the acceptance of standard deviation. For example, d=1 means we can only choose those lambda which are located in the range of minimum error with one standard deviation.d=2 means we can only choose those lambda which are located in the range of minimum error with two standard deviations.
Value
The lambda value.
XiaQiong/GMMLasso documentation built on April 4, 2022, 6:18 a.m.
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| chooselambda | R Documentation |
How to choose tunning parameters in the process for selecting variables.
Description
How to choose tunning parameters in the process for selecting variables.
Usage
chooselambda(object, d)
Arguments
object |
object is the fitted lasso model. |
d |
d is to measure the acceptance of standard deviation. For example, d=1 means we can only choose those lambda which are located in the range of minimum error with one standard deviation.d=2 means we can only choose those lambda which are located in the range of minimum error with two standard deviations. |
Value
The lambda value.
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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