getform.glmnet: A function to create a new formula after glmnet in caret
In fzettelmeyer/mktg482: Functions needed for MKTG 482
Description
Usage
Arguments
Value
Examples
Description
This function takes non-zero variables after glmnet and returns a
new formula. If any dummy created from a factor is non-zero, it will
incluce the factor variable
Usage
1
getform.glmnet(modelFit, lambda = modelFit$bestTune$lambda)
Arguments
modelFit
required: trained caret glmnet model
lambda
optional: a lambda penalty (default is modelFit$bestTune$lambda)
Value
A formula
Examples
1
getform.glmnet(glmnetFit)
fzettelmeyer/mktg482 documentation built on May 26, 2020, 2:26 p.m.
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Description Usage Arguments Value Examples
Description
This function takes non-zero variables after glmnet and returns a new formula. If any dummy created from a factor is non-zero, it will incluce the factor variable
Usage
1 | getform.glmnet(modelFit, lambda = modelFit$bestTune$lambda)
|
Arguments
modelFit |
required: trained caret glmnet model |
lambda |
optional: a lambda penalty (default is modelFit$bestTune$lambda) |
Value
A formula
Examples
1 | getform.glmnet(glmnetFit)
|
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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