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 |
| 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 |
| Reference manual: | tpc.html ,tpc.pdf |
| 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 |
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