WLogit

Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach

CRAN Package

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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  • Depends1 package
  • Imports8 packages
  • Suggests1 package