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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 ForaitaORCID iD [cre, ctb], DFG [fnd]
Maintainer:Ronja Foraita <foraita at leibniz-bips.de>
BugReports:https://github.com/bips-hb/tpc/issues
License:GPL (≥ 3)
URL:https://github.com/bips-hb/tpc
NeedsCompilation:no
Materials:README
CRAN checks:tpc results

Documentation:

Reference manual:tpc.html ,tpc.pdf

Downloads:

Package source: tpc_1.0.tar.gz
Windows binaries: r-devel:tpc_1.0.zip, r-release:tpc_1.0.zip, r-oldrel:tpc_1.0.zip
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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tpcto link to this page.


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