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 and more. Also includes a comprehensive framework for discrete-time simulation, which can generate even more complex longitudinal data. For more details, see Robin Denz, Nina Timmesfeld (2025) <doi:10.48550/arXiv.2506.01498>.
Version: 0.3.2 Imports: data.table (≥ 1.15.0), Rfast, rlang, igraph (≥ 2.0.0) Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0), ggplot2, ggforce, MASS, covr, foreach, doSNOW, doRNG, parallel, utils, simr, rsurv, survival Published: 2025-06-24 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=simDAG to link to this page.
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