Package: cia
Title: Learn and Apply Directed Acyclic Graphs for Causal Inference
Version: 1.1.0
Authors@R: c(
    person(given = "Mathew",
           family = "Varidel",
           role = c("aut", "cre", "cph"),
           email = "mathew.varidel@sydney.edu.au",
           comment = c(ORCID = "0000-0002-1648-8317")),
    person(given = "Victor",
           family = "An",
           role = c("ctb"),
           email = "victor.an@sydney.edu.au")
    )
Description: Causal Inference Assistance (CIA) for performing causal
        inference within the structural causal modelling framework.
        Structure learning is performed using partition Markov chain
        Monte Carlo (Kuipers & Moffa, 2017) and several additional
        functions have been added to help with causal inference.
        Kuipers and Moffa (2017) <doi:10.1080/01621459.2015.1133426>.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Depends: R (>= 4.4.0)
Imports: bnlearn (>= 4.9), igraph, doParallel, parallel, foreach,
        arrangements, dplyr, rlang, fastmatch, methods, gRain,
        patchwork, tidyr, lifecycle, stringr
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), gtools, gRbase,
        ggplot2, qgraph, dagitty
Config/testthat/edition: 3
URL: https://spaceodyssey.github.io/cia/
BugReports: https://github.com/SpaceOdyssey/cia/issues
Config/pak/sysreqs: libglpk-dev libgmp3-dev libicu-dev libxml2-dev
Repository: https://spaceodyssey.r-universe.dev
Date/Publication: 2024-12-19 05:06:13 UTC
RemoteUrl: https://github.com/spaceodyssey/cia
RemoteRef: HEAD
RemoteSha: 39589e1a09e97a195912d789a259d788edd4f748
NeedsCompilation: no
Packaged: 2026-10-04 07:44:14 UTC; root
Author: Mathew Varidel [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-1648-8317>),
  Victor An [ctb]
Maintainer: Mathew Varidel <mathew.varidel@sydney.edu.au>