Package: causalDisco
Title: Tools for Causal Discovery on Observational Data
Version: 0.9.5
Authors@R: 
    c(
      person(
        given = "Anne Helby",
        family = "Petersen",
        role = "aut",
        email = "ahpe@sund.ku.dk"
      ),
      person(
        given = "Tobias Ellegaard",
        family = "Larsen",
        role = "ctb",
        email = "tobias.ellegaard@sund.ku.dk"
      ),
      person(
        given = "Claus Thorn",
        family = "Ekstrøm",
        role = "ctb",
        email = "ekstrom@sund.ku.dk"
      ),
      person(
        given = "Bjarke Hautop",
        family = "Kristensen",
        role = c("ctb", "cre"),
        email = "bjarke.kristensen@sund.ku.dk"
      )
    )
Description: Various tools for inferring causal models from observational data. The package 
    includes an implementation of the temporal Peter-Clark (TPC) algorithm. Petersen, Osler 
    and Ekstrøm (2021) <doi:10.1093/aje/kwab087>. It also includes general tools
    for evaluating differences in adjacency matrices, which can be used for evaluating
    performance of causal discovery procedures. 
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/disco-coders/causalDisco
BugReports: https://github.com/disco-coders/causalDisco/issues
RoxygenNote: 7.3.3
Imports: pcalg, igraph, RColorBrewer, gtools, clipr, methods, scales,
        Rgraphviz, graph, magick, rmarkdown
Collate: 'amat.R' 'causalDisco-package.R' 'compare.R' 'confusion.R'
        'corTest.R' 'edges.R' 'evaluate.R' 'tpc.R' 'fci.R'
        'gausCorScore.R' 'maketikz.R' 'metrics.R' 'misc.R' 'nDAGs.R'
        'pc.R' 'plot.R' 'plotTempoMech.R' 'probmat2amat.R' 'regTest.R'
        'simDAG.R' 'simGausFromDAG.R' 'tamat.R' 'tfci.R' 'tges.R'
        'tplot.R'
NeedsCompilation: no
Packaged: 2026-01-20 08:04:11 UTC; hwm271
Author: Anne Helby Petersen [aut],
  Tobias Ellegaard Larsen [ctb],
  Claus Thorn Ekstrøm [ctb],
  Bjarke Hautop Kristensen [ctb, cre]
Maintainer: Bjarke Hautop Kristensen <bjarke.kristensen@sund.ku.dk>
Repository: CRAN
Date/Publication: 2026-01-20 09:10:02 UTC
Built: R 4.4.3; ; 2026-01-23 04:32:44 UTC; windows
