shapr
Prediction Explanation with Dependence-Aware Shapley Values
Description
Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through PyPI.
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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 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| 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 (3 non-OK)
installed package size
installed size is 8.4Mb
sub-directories of 1Mb or more:
doc 3.1Mb
libs 4.0Mb
installed package size
installed size is 8.5Mb
sub-directories of 1Mb or more:
doc 3.1Mb
libs 4.0Mb
installed package size
installed size is 5.7Mb
sub-directories of 1Mb or more:
doc 3.1Mb
libs 1.3Mb
Check History
NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
installed package size
installed size is 8.4Mb
sub-directories of 1Mb or more:
doc 3.1Mb
libs 4.0Mb
installed package size
installed size is 8.5Mb
sub-directories of 1Mb or more:
doc 3.1Mb
libs 4.0Mb
installed package size
installed size is 5.7Mb
sub-directories of 1Mb or more:
doc 3.1Mb
libs 1.3Mb