WLogit-package

WLogit

tools:::Rd_package_description("WLogit")

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.

Wencan Zhu

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

WLogit-package function

tools:::Rd_package_author("WLogit")
Maintainer: tools:::Rd_package_maintainer("WLogit")

WLogit-package: tools:::Rd_package_title("WLogit")

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Author

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