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 | 
| DOI: | 10.32614/CRAN.package.dagwood | 
| Author: | Noah Haber | 
| Maintainer: | Noah Haber <noahhaber at stanford.edu> | 
| License: | MIT + file LICENSE | 
| NeedsCompilation: | no | 
| CRAN checks: | dagwood results | 
| Reference manual: | dagwood.html , 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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