A port of the web-based software 'DAGitty', available at , 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.

Documentation

Manual: dagitty.pdf
Vignette: A SEM user's guide to dagitty for R

Maintainer: Johannes Textor <johannes.textor at gmx.de>

Author(s): Johannes Textor, Benito van der Zander

Install package and any missing dependencies by running this line in your R console:

install.packages("dagitty")

Depends R (>= 3.0.0)
Imports V8, jsonlite, boot, MASS, methods, grDevices, stats, utils, graphics
Suggests knitr, base64enc(>=0.1-3), lavaan, testthat
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Package dagitty
Materials
URL http://www.dagitty.net https://github.com/jtextor/dagitty
Task Views
Version 0.2-2
Published 2016-08-26
License GPL-2
BugReports https://github.com/jtextor/dagitty/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks dagitty check results
Package source dagitty_0.2-2.tar.gz