pcalg
Methods for Graphical Models and Causal Inference
Description
Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
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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 (14 non-OK)
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installed package size
installed size is 11.4Mb
sub-directories of 1Mb or more:
data 2.1Mb
libs 6.6Mb
installed package size
installed size is 11.5Mb
sub-directories of 1Mb or more:
data 2.1Mb
libs 6.7Mb
installed package size
installed size is 6.2Mb
sub-directories of 1Mb or more:
data 2.1Mb
libs 1.4Mb
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Check History
NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
installed package size
installed size is 11.4Mb
sub-directories of 1Mb or more:
data 2.1Mb
libs 6.6Mb
installed package size
installed size is 11.5Mb
sub-directories of 1Mb or more:
data 2.1Mb
libs 6.7Mb
installed package size
installed size is 6.2Mb
sub-directories of 1Mb or more:
data 2.1Mb
libs 1.4Mb