causalDisco: Tools for Causal Discovery on Observational Data

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.

Version: 0.9.1
Depends: R (≥ 3.5.0)
Imports: pcalg, igraph, RColorBrewer, gtools, clipr, methods, scales
Published: 2022-05-12
Author: Anne Helby Petersen [aut, cre]
Maintainer: Anne Helby Petersen <ahpe at sund.ku.dk>
BugReports: https://github.com/annennenne/causalDisco/issues
License: GPL-2
URL: https://github.com/annennenne/causalDisco
NeedsCompilation: no
Materials: NEWS
CRAN checks: causalDisco results

Documentation:

Reference manual: causalDisco.pdf

Downloads:

Package source: causalDisco_0.9.1.tar.gz
Windows binaries: r-devel: causalDisco_0.9.1.zip, r-release: causalDisco_0.9.1.zip, r-oldrel: causalDisco_0.9.1.zip
macOS binaries: r-release (arm64): causalDisco_0.9.1.tgz, r-oldrel (arm64): causalDisco_0.9.1.tgz, r-release (x86_64): causalDisco_0.9.1.tgz

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