WLogit
Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach
It proposes a novel variable selection approach in classification problem that takes into account the correlations that may exist between the predictors of the design matrix in a high-dimensional logistic model. Our approach consists in rewriting the initial high-dimensional logistic model to remove the correlation between the predictors and in applying the generalized Lasso criterion.
- Version2.1
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Last release07/17/2023
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Team
Wencan Zhu
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- Imports8 packages
- Suggests1 package