WLogit
Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach
v2.1
·
Jul 17, 2023
·
GPL-2
Description
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.
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| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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CRAN incoming feasibility
Maintainer: ‘Wencan Zhu <wencan.zhu@yahoo.com>’
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Authors@R: person(given = "Wencan",
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email = "wencan.zhu@yahoo.com")
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Authors@R: person(given = "Wencan",
family = "Zhu",
role = c("aut", "cre"),
email = "wencan.zhu@yahoo.com")
as necessary.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Wencan Zhu <wencan.zhu@yahoo.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Wencan",
family = "Zhu",
role = c("aut", "cre"),
email = "wencan.zhu@yahoo.com")
as necessary.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Wencan Zhu <wencan.zhu@yahoo.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Wencan",
family = "Zhu",
role = c("aut", "cre"),
email = "wencan.zhu@yahoo.com")
as necessary.
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Version History
new
2.1
Mar 9, 2026