pen_gmic: The Group MIC Penalty Function
In liqun730/gMIC: Group Sparsity via Approximated Information Criteria
Description
Usage
Arguments
Value
Description
The Group MIC Penalty Function
Usage
1
Arguments
beta
A p-dimensional vector containing the regression ceofficients.
group
The group structure of the model. For example, assume that X has 4 columns and group=c(1,1,2,2).
It means the first 2 features form a group of variables and the last 2 features form another group of variables.
a
The approximation parameter of the gMIC.
Value
The gMIC penalty evaluated at beta.
liqun730/gMIC documentation built on May 22, 2019, 11:52 p.m.
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Description Usage Arguments Value
Description
The Group MIC Penalty Function
Usage
1 |
Arguments
beta |
A p-dimensional vector containing the regression ceofficients. |
group |
The group structure of the model. For example, assume that X has 4 columns and group=c(1,1,2,2). It means the first 2 features form a group of variables and the last 2 features form another group of variables. |
a |
The approximation parameter of the gMIC. |
Value
The gMIC penalty evaluated at beta.
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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