tpc: Tiered PC Algorithm

Constraint-based causal discovery using the PC algorithm while accounting for a partial node ordering, for example a partial temporal ordering when the data were collected in different waves of a cohort study. Andrews RM, Foraita R, Didelez V, Witte J (2021) <doi:10.48550/arXiv.2108.13395> provide a guide how to use tpc to analyse cohort data.

Version: 1.0
Depends: pcalg, R (≥ 3.5.0)
Imports: graph, graphics, methods, parallel, utils
Suggests: Rgraphviz, testthat (≥ 3.0.0)
Published: 2023-02-20
DOI: 10.32614/CRAN.package.tpc
Author: Janine Witte [aut], Ronja Foraita ORCID iD [cre, ctb], DFG [fnd]
Maintainer: Ronja Foraita <foraita at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: tpc results


Reference manual: tpc.pdf


Package source: tpc_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tpc_1.0.tgz, r-oldrel (arm64): tpc_1.0.tgz, r-release (x86_64): tpc_1.0.tgz, r-oldrel (x86_64): tpc_1.0.tgz


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