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
tpc_1.0.zip(r-4.7-any)tpc_1.0.zip(r-4.6-any)tpc_1.0.zip(r-4.5-any)
tpc_1.0.tgz(r-4.6-any)tpc_1.0.tgz(r-4.5-any)
tpc_1.0.tar.gz(r-4.7-any)tpc_1.0.tar.gz(r-4.6-any)
tpc_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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

Datasets:

On CRAN:

Conda:

causal-discoverycohort-analysisgraphical-models

3.88 score 8 stars 19 scripts 300 downloads 4 exports 35 dependencies

Last updated from:137e18be73. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK176
source / vignettesOK189
linux-releaseOK142
macos-releaseOK90
macos-oldrelOK92
windows-develOK117
windows-releaseOK100
windows-oldrelOK83
wasm-releaseOK125

Exports:MeekRulestpctpc.cons.interntskeleton

Dependencies:abindbdsmatrixBHBiocGenericsBiocManagercliclueclustercolorspacecorpcorcpp11DEoptimRfastICAgenericsggmgluegraphigraphlatticelifecyclelmtestmagrittrMASSMatrixpcalgpkgconfigRBGLRcppRcppArmadillorlangrobustbasesfsmiscvcdvctrszoo