tpc-package: Tiered PC Algorithm
In bips-hb/tpc: Tiered PC Algorithm
tpc-package R Documentation
Tiered PC Algorithm
Description
Constraint-based causal discovery using the PC algorithm while accounting for a
partial node ordering, e.g. 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) <arXiv:2108.13395>
provide a guide how to use tpc to analyse cohort data.
Author(s)
Maintainer: Ronja Foraita foraita@leibniz-bips.de (ORCID) [contributor]
Authors:
Janine Witte witte@leibniz-bips.de
Other contributors:
DFG [funder]
See Also
Useful links:
bips-hb/tpc documentation built on March 10, 2023, 9:54 p.m.
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| tpc-package | R Documentation |
Tiered PC Algorithm
Description
Constraint-based causal discovery using the PC algorithm while accounting for a partial node ordering, e.g. 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) <arXiv:2108.13395> provide a guide how to use tpc to analyse cohort data.
Author(s)
Maintainer: Ronja Foraita foraita@leibniz-bips.de (ORCID) [contributor]
Authors:
Janine Witte witte@leibniz-bips.de
Other contributors:
DFG [funder]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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