Package: tpc 1.0
Ronja Foraita
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) <arxiv:2108.13395> provide a guide how to use tpc to analyse cohort data.
Authors:
tpc_1.0.tar.gz
tpc_1.0.zip(r-4.5)tpc_1.0.zip(r-4.4)tpc_1.0.zip(r-4.3)
tpc_1.0.tgz(r-4.4-any)tpc_1.0.tgz(r-4.3-any)
tpc_1.0.tar.gz(r-4.5-noble)tpc_1.0.tar.gz(r-4.4-noble)
tpc_1.0.tgz(r-4.4-emscripten)tpc_1.0.tgz(r-4.3-emscripten)
tpc.pdf |tpc.html✨
tpc/json (API)
| # Install 'tpc' in R: |
| install.packages('tpc', repos = c('https://bips-hb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bips-hb/tpc/issues
- dat_cohort - Simulated Cohort Data
- dat_cohort_dis - Simulated Cohort Data - discretized
- dat_cohort_mis - Simulated Cohort Data - with missing values
- dat_sim - Simulated Data with a Partial Ordering
- true_cohort - Cohort Data Structure
- true_sim - A DAG with a Partial Ordering
causal-discoverycohort-analysisgraphical-models
Last updated 2 years agofrom:137e18be73. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:MeekRulestpctpc.cons.interntskeleton
Dependencies:abindbdsmatrixBHBiocGenericsBiocManagercliclueclustercolorspacecorpcorcpp11DEoptimRfastICAggmgluegraphigraphlatticelifecyclelmtestmagrittrMASSMatrixpcalgpkgconfigRBGLRcppRcppArmadillorlangrobustbasesfsmiscvcdvctrszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulated Cohort Data | dat_cohort |
| Simulated Cohort Data - discretized | dat_cohort_dis |
| Simulated Cohort Data - with missing values | dat_cohort_mis |
| Simulated Data with a Partial Ordering | dat_sim |
| Last Step of tPC Algorithm: Apply Meek's rules | MeekRules |
| PC Algorithm Accounting for a Partial Node Ordering | tpc |
| Utility for Conservative and Majority Rule in tpc | tpc.cons.intern |
| Cohort Data Structure | true_cohort |
| A DAG with a Partial Ordering | true_sim |
| Estimate the Skeleton of a DAG while Accounting for a Partial Ordering | tskeleton |
