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.

dagwood: DAGs with Omitted Objects Displayed (DAGWOOD)

DAGs With Omitted Objects Displayed (DAGWOOD) is a framework to help reveal key hidden assumptions in a causal DAG. This package provides an implementation of the DAGWOOD algorithm. Further description can be found in Haber et al (2022) <doi:10.1016/j.annepidem.2022.01.001>.

Version: 0.1.4
Imports: dagitty
Suggests: ggdag
Published: 2022-03-22
Author: Noah Haber ORCID iD [aut, cre]
Maintainer: Noah Haber <noahhaber at stanford.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: dagwood results

Documentation:

Reference manual: dagwood.pdf

Downloads:

Package source: dagwood_0.1.4.tar.gz
Windows binaries: r-devel: dagwood_0.1.4.zip, r-release: dagwood_0.1.4.zip, r-oldrel: dagwood_0.1.4.zip
macOS binaries: r-release (arm64): dagwood_0.1.4.tgz, r-oldrel (arm64): dagwood_0.1.4.tgz, r-release (x86_64): dagwood_0.1.4.tgz, r-oldrel (x86_64): dagwood_0.1.4.tgz
Old sources: dagwood archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dagwood 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.