aorsf
Accelerated Oblique Random Forests
v0.1.6
·
Dec 11, 2025
·
MIT + file LICENSE
Description
Fit, interpret, and compute predictions with oblique random forests. Includes support for partial dependence, variable importance, passing customized functions for variable importance and identification of linear combinations of features. Methods for the oblique random survival forest are described in Jaeger et al., (2023) <DOI:10.1080/10618600.2023.2231048>.
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| r-devel-linux-x86_64-debian-gcc | OK |
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| r-devel-windows-x86_64 | OK |
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| 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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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 10.4Mb
sub-directories of 1Mb or more:
libs 9.0Mb
NOTE
r-oldrel-macos-x86_64
installed package size
installed size is 11.6Mb
sub-directories of 1Mb or more:
libs 10.1Mb
Reverse Dependencies (5)
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Version History
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0.1.6
Mar 9, 2026