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:Janine Witte [aut], Ronja Foraita [cre, ctb], DFG [fnd]

tpc_1.0.tar.gz
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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'))

Peer review:

Bug tracker:https://github.com/bips-hb/tpc/issues

Datasets:

On CRAN:

causal-discoverycohort-analysisgraphical-models

4 exports 4 stars 1.02 score 34 dependencies 12 scripts 253 downloads

Last updated 2 years agofrom:137e18be73. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:MeekRulestpctpc.cons.interntskeleton

Dependencies:abindbdsmatrixBHBiocGenericsBiocManagercliclueclustercolorspacecorpcorcpp11DEoptimRfastICAggmgluegraphigraphlatticelifecyclelmtestmagrittrMASSMatrixpcalgpkgconfigRBGLRcppRcppArmadillorlangrobustbasesfsmiscvcdvctrszoo