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


Reference manual: dagwood.pdf


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


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