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
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://bips-hb.r-universe.dev
Date/Publication: 2023-02-18 14:45:01 UTC
RemoteUrl: https://github.com/bips-hb/tpc
RemoteRef: HEAD
RemoteSha: 137e18be731c51f7a37f7bfeac7fc86f5fafd631
NeedsCompilation: no
Packaged: 2026-07-04 21:10:26 UTC; root
Author: Janine Witte [aut],
  Ronja Foraita [cre, ctb] (ORCID:
    <https://orcid.org/0000-0003-2216-6653>),
  DFG [fnd]