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CRAN: Package simDAG

simDAG: Simulate Data from a (Time-Dependent) Causal DAG

Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression or any other function. Also includes a comprehensive framework for discrete-time simulation, discrete-event simulation, and networks-based simulation which can generate even more complex longitudinal and dependent data. For more details, see Robin Denz, Nina Timmesfeld (2025) <doi:10.48550/arXiv.2506.01498>.

Version: 0.5.1
Imports: data.table (≥ 1.15.0), Rfast, rlang, igraph (≥ 2.0.0), dagitty, ggdag
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0), ggplot2, ggforce, MASS, covr, foreach, doSNOW, doRNG, parallel, utils, simr, rsurv, survival
Published: 2026-03-10
DOI: 10.32614/CRAN.package.simDAG
Author: Robin Denz [aut, cre], Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz at rub.de>
Contact: <robin.denz@rub.de>
BugReports: https://github.com/RobinDenz1/siMDAG/issues
License: GPL (≥ 3)
URL: https://github.com/RobinDenz1/simDAG, https://robindenz1.github.io/simDAG/
NeedsCompilation: no
Citation: simDAG citation info
Materials: README, NEWS
CRAN checks: simDAG results

Documentation:

Reference manual: simDAG.html , simDAG.pdf
Vignettes: JoSS Paper (source, R code)
simDAG Cookbook (source, R code)
Simulating Covid-19 Vaccine Data using a Discrete-Time Simulation (source, R code)
Specifying Custom Node Types in a DAG (source, R code)
Simulating Data using a Discrete-Event Approach (source, R code)
Simulating Data using a Discrete-Time Approach (source, R code)
Simulating Data from a known DAG (source, R code)
Simulating Data from a DAG with Network Dependencies (source, R code)
Specifying Formulas in a DAG (source, R code)

Downloads:

Package source: simDAG_0.5.1.tar.gz
Windows binaries: r-devel: simDAG_0.5.1.zip, r-release: simDAG_0.5.1.zip, r-oldrel: simDAG_0.5.1.zip
macOS binaries: r-release (arm64): simDAG_0.5.1.tgz, r-oldrel (arm64): simDAG_0.5.1.tgz, r-release (x86_64): simDAG_0.5.1.tgz, r-oldrel (x86_64): simDAG_0.5.1.tgz
Old sources: simDAG archive

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