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 
[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.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 form https://CRAN.R-project.org/package=tpc to link to this page.