The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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, r-oldrel (x86_64): causalDisco_0.9.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causalDisco to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.