doi:10.48550/arXiv.2506.01498>.">

simDAG: Simulate Data from a DAG and Associated Node Information (original) (raw)

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, 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: 0.4.1
Imports: data.table (≥ 1.15.0), Rfast, rlang, igraph (≥ 2.0.0), dagitty
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0), ggplot2, ggforce, MASS, covr, foreach, doSNOW, doRNG, parallel, utils, simr, rsurv, survival
Published: 2025-10-15
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

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