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RMSS

Robust Multi-Model Subset Selection

v1.2.4 · Mar 2, 2026 · GPL (>= 2)

Description

Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of the least trimmed square loss of the models in the ensembles under constraints for the size of the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and diversity of the robust ensemble are selected by cross-validation.

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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 NOTE
r-oldrel-macos-x86_64 NOTE
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)
OK 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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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.3Mb
  sub-directories of 1Mb or more:
    libs   6.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.4Mb
  sub-directories of 1Mb or more:
    libs   6.3Mb
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

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OK r-release-macos-arm64

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OK r-release-macos-x86_64

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OK r-release-windows-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  6.3Mb
  sub-directories of 1Mb or more:
    libs   6.1Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  6.4Mb
  sub-directories of 1Mb or more:
    libs   6.3Mb

Dependency Network

Dependencies Reverse dependencies Rcpp srlars robStepSplitReg cellWise robustbase RMSS

Version History

new 1.2.4 Mar 9, 2026