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 Documentation: Downloads: Reverse dependencies: Reverse imports: causalPAF, dagwood, epicmodel, episensr, ggdag, midoc, SEMgraph, theorytools Reverse suggests: cfid, cia, dagR, dce, dosearch, mvGPS, pcalg, performance, tidySEM Linking:Please use the canonical form https://CRAN.R-project.org/package=dagitty to link to this page.
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