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A port of the web-based software 'DAGitty', available at <https://dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs). This package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications (d-separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation.
| Version: | 0.3-4 |
| Depends: | R (≥ 3.0.0) |
| Imports: | V8, jsonlite, boot, MASS, methods, grDevices, stats, utils, graphics |
| Suggests: | igraph, knitr, base64enc (≥ 0.1-3), testthat, markdown, rmarkdown, lavaan, CCP, fastDummies |
| Published: | 2023-12-07 |
| DOI: | 10.32614/CRAN.package.dagitty |
| Author: | Johannes Textor, Benito van der Zander, Ankur Ankan |
| Maintainer: | Johannes Textor <johannes.textor at gmx.de> |
| BugReports: | https://github.com/jtextor/dagitty/issues |
| License: | GPL-2 |
| URL: | https://www.dagitty.net, https://github.com/jtextor/dagitty |
| NeedsCompilation: | no |
| Citation: | dagitty citation info |
| Materials: | NEWS |
| In views: | CausalInference |
| CRAN checks: | dagitty results |
| Reference manual: | dagitty.pdf |
| Vignettes: |
A SEM user's guide to dagitty for R |
| Package source: | dagitty_0.3-4.tar.gz |
| Windows binaries: | r-devel: dagitty_0.3-4.zip, r-release: dagitty_0.3-4.zip, r-oldrel: dagitty_0.3-4.zip |
| macOS binaries: | r-release (arm64): dagitty_0.3-4.tgz, r-oldrel (arm64): dagitty_0.3-4.tgz, r-release (x86_64): dagitty_0.3-4.tgz, r-oldrel (x86_64): dagitty_0.3-4.tgz |
| Old sources: | dagitty archive |
| Reverse imports: | causalPAF, dagwood, epicmodel, episensr, ggdag, midoc, SEMgraph |
| Reverse suggests: | cfid, cia, dagR, dce, dosearch, mvGPS, pcalg, performance, tidySEM |
Please use the canonical form https://CRAN.R-project.org/package=dagitty 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.
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