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tpc  

Tiered PC Algorithm
View on CRAN: Click here


Download and install tpc package within the R console
Install from CRAN:
install.packages("tpc")

Install from Github:
library("remotes")
install_github("cran/tpc")

Install by package version:
library("remotes")
install_version("tpc", "1.0")



Attach the package and use:
library("tpc")
Maintained by
Ronja Foraita
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-20
Latest Update: 2023-02-20
Description:
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.
How to cite:
Ronja Foraita (2023). tpc: Tiered PC Algorithm. R package version 1.0, https://cran.r-project.org/web/packages/tpc. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited tpc R package
View tpc citation profile
Other R packages that tpc depends, imports, suggests or enhances
Complete documentation for tpc
Functions, R codes and Examples using the tpc R package
Some associated functions: MeekRules . dat_cohort . dat_cohort_dis . dat_cohort_mis . dat_sim . tpc-package . tpc.cons.intern . tpc . true_cohort . true_sim . tskeleton . 
Some associated R codes: MeeksRules.R . data.R . tcheckTriple.R . tpc-package.R . tpc.R . tpc_cons_intern.R . tskeleton.R . tskeleton_parallel.R .  Full tpc package functions and examples
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