Models_gen: Generate all subset models
In maclogp: Measures of Uncertainty for Model Selection
Description
Usage
Arguments
Value
See Also
Examples
Description
This function generates a list including all subset models given a
vector of candidate predictors.
Usage
1
Models_gen(predictors)
Arguments
predictors
a vector including the indexes of all predictors,
such as 1:p.
Value
Returns a list with one entry for each model. Each entry is an integer
vector that specifies the columns of matrix x to be used as a regressor in that model.
See Also
Examples
1
Models_gen(1:5)
maclogp documentation built on April 22, 2021, 9:06 a.m.
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Description Usage Arguments Value See Also Examples
Description
This function generates a list including all subset models given a vector of candidate predictors.
Usage
1 | Models_gen(predictors)
|
Arguments
predictors |
a vector including the indexes of all predictors,
such as |
Value
Returns a list with one entry for each model. Each entry is an integer
vector that specifies the columns of matrix x to be used as a regressor in that model.
See Also
Examples
1 | Models_gen(1:5)
|
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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