tidy_glmnet: Lasso analysis
In emartchenko/mvsimstudy: Multivariate Correlated Data Simulation Tools
Description
Usage
Arguments
Details
Value
See Also
Description
Uses glmnet to perform analysis and calculates AUC.
Usage
1
tidy_glmnet(data_tibble)
Arguments
data_tibble
data to be analyzed.
Details
An internal function.
Value
A 3 column dataframe that tracks the reps number, feature, and
whether that feature was selected as significant or not (either a 1 or 0).
'selected' column also stores the calculated AUC before the summarization
step.
See Also
emartchenko/mvsimstudy documentation built on May 24, 2019, 5:04 a.m.
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.
Description Usage Arguments Details Value See Also
Description
Uses glmnet to perform analysis and calculates AUC.
Usage
1 | tidy_glmnet(data_tibble)
|
Arguments
data_tibble |
data to be analyzed. |
Details
An internal function.
Value
A 3 column dataframe that tracks the reps number, feature, and whether that feature was selected as significant or not (either a 1 or 0). 'selected' column also stores the calculated AUC before the summarization step.
See Also
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.