Package: tpc
Type: Package
Title: Tiered PC Algorithm
Version: 1.0
Authors@R: c(
      person(given = "Janine", family = "Witte", 
             email = "witte@leibniz-bips.de", role = c("aut")),
      person(given = "Ronja", family = "Foraita", 
             email = "foraita@leibniz-bips.de", role = c("cre","ctb"),
             comment = c(ORCID = "0000-0003-2216-6653")),
      person("DFG", role = "fnd"))
Maintainer: Ronja Foraita <foraita@leibniz-bips.de>
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) <arXiv:2108.13395>  
    provide a guide how to use tpc to analyse cohort data.
Depends: pcalg, R (>= 3.5.0)
Imports: graph, graphics, methods, parallel, utils
Suggests: Rgraphviz, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
License: GPL (>= 3)
URL: https://github.com/bips-hb/tpc
BugReports: https://github.com/bips-hb/tpc/issues
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-02-18 14:37:32 UTC; foraita
Author: Janine Witte [aut],
  Ronja Foraita [cre, ctb] (<https://orcid.org/0000-0003-2216-6653>),
  DFG [fnd]
Repository: CRAN
Date/Publication: 2023-02-20 11:40:02 UTC
Built: R 4.6.0; ; 2026-04-26 10:50:30 UTC; unix
