DAGassist: Test Robustness with Directed Acyclic Graphs
Provides robustness checks to align estimands with the identification that they require. Given a 'dagitty' object and a model specification, 'DAGassist' classifies variables by causal roles, flags problematic controls, and generates a report comparing the original model with minimal and canonical adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel', 'dotwhisker', or plain text/'markdown'. 'DAGassist' is built on 'dagitty', an 'R' package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161> and Textor et al. (2016) <doi:10.1093/ije/dyw341>.
| Version: | 0.2.7 |
| Depends: | R (≥ 3.5) |
| Imports: | broom,cli,crayon,dagitty,magrittr, stats, tools, utils,writexl,dplyr,ggplot2,dotwhisker |
| Suggests: | devtools,fixest,ggdag,knitr,modelsummary,rmarkdown,testthat (≥ 3.0.0),tidyverse,DiagrammeR |
| Published: | 2025-11-11 |
| DOI: | 10.32614/CRAN.package.DAGassist |
| Author: | Graham Goff [aut, cre], Michael Denly [aut] |
| Maintainer: | Graham Goff <goffgrahamc at gmail.com> |
| BugReports: | https://github.com/grahamgoff/DAGassist/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/grahamgoff/DAGassist,https://grahamgoff.github.io/DAGassist/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | DAGassist results |
Documentation:
| Reference manual: | DAGassist.html ,DAGassist.pdf |
| Vignettes: | Supported Models (source,R code) Get Started (source,R code) Getting Started with Report Creation (source,R code) quick-tour (source,R code) |
Downloads:
| Package source: | DAGassist_0.2.7.tar.gz |
| Windows binaries: | r-devel:DAGassist_0.2.7.zip, r-release:DAGassist_0.2.7.zip, r-oldrel:DAGassist_0.2.7.zip |
| macOS binaries: | r-release (arm64):DAGassist_0.2.7.tgz, r-oldrel (arm64):DAGassist_0.2.7.tgz, r-release (x86_64):DAGassist_0.2.7.tgz, r-oldrel (x86_64):DAGassist_0.2.7.tgz |
| Old sources: | DAGassist archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=DAGassistto link to this page.