A port of the web-based software 'DAGitty', available at <http://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: | 0.3-1 |
Depends: | R (≥ 3.0.0) |
Imports: | V8, jsonlite, boot, MASS, methods, grDevices, stats, utils, graphics |
Suggests: | knitr, base64enc (≥ 0.1-3), testthat, markdown, rmarkdown, lavaan |
Published: | 2021-01-21 |
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: | http://www.dagitty.net, https://github.com/jtextor/dagitty |
NeedsCompilation: | no |
Citation: | dagitty citation info |
Materials: | NEWS |
CRAN checks: | dagitty results |
Reference manual: | dagitty.pdf |
Vignettes: |
A SEM user's guide to dagitty for R |
Package source: | dagitty_0.3-1.tar.gz |
Windows binaries: | r-devel: dagitty_0.3-1.zip, r-release: dagitty_0.3-1.zip, r-oldrel: dagitty_0.3-1.zip |
macOS binaries: | r-release: dagitty_0.3-1.tgz, r-oldrel: dagitty_0.3-1.tgz |
Old sources: | dagitty archive |
Reverse imports: | CausalQueries, dosearch, ggdag |
Reverse suggests: | mvGPS, pcalg |
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