This is a development version of DMRnet — Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data.
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Updated
Aug 7, 2023 - R
This is a development version of DMRnet — Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data.
R Package: Adaptively weighted group lasso for semiparametic quantile regression models
Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data
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