multivariateAnalysisVarImp: multivariateAnalysisVarImp Extract variable importance...
In chapmandu2/CancerCellLineModelling: Modelling Drug Response In Cancer Cell Lines
Description
Usage
Arguments
Value
Description
multivariateAnalysisVarImp
Extract variable importance parameters from a caret::train object
Usage
1
2
multivariateAnalysisVarImp(caret_res, glmnet_caret = FALSE,
varImp_scale = FALSE)
Arguments
caret_res
Train object as produced by multivariateAnalysisElasticNet for example
glmnet_caret
Boolean to determine whether to use the caret varImp function for glmnet objects (default FALSE)
varImp_scale
Boolean to determine whether caret::varImp scale parameter is set to FALSE (default) or TRUE
Value
data frame
chapmandu2/CancerCellLineModelling documentation built on May 13, 2019, 3:26 p.m.
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Description Usage Arguments Value
Description
multivariateAnalysisVarImp Extract variable importance parameters from a caret::train object
Usage
1 2 | multivariateAnalysisVarImp(caret_res, glmnet_caret = FALSE,
varImp_scale = FALSE)
|
Arguments
caret_res |
Train object as produced by multivariateAnalysisElasticNet for example |
glmnet_caret |
Boolean to determine whether to use the caret varImp function for glmnet objects (default FALSE) |
varImp_scale |
Boolean to determine whether caret::varImp scale parameter is set to FALSE (default) or TRUE |
Value
data frame
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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