Description
Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators, following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) <doi:10.1214/13-AIHP539>. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
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Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| 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 |
Check details (14 non-OK)
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r-devel-linux-x86_64-debian-clang
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OK
r-devel-linux-x86_64-debian-gcc
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OK
r-devel-linux-x86_64-fedora-clang
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OK
r-devel-linux-x86_64-fedora-gcc
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OK
r-devel-macos-arm64
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OK
r-devel-windows-x86_64
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OK
r-oldrel-macos-arm64
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OK
r-oldrel-macos-x86_64
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OK
r-oldrel-windows-x86_64
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OK
r-patched-linux-x86_64
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OK
r-release-linux-x86_64
*
OK
r-release-macos-arm64
*
OK
r-release-macos-x86_64
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r-release-windows-x86_64
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Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
Reverse Dependencies (1)
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Version History
new
1.1.6
Mar 9, 2026