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simDAG  

Simulate Data from a (Time-Dependent) Causal DAG
View on CRAN: Click here


Download and install simDAG package within the R console
Install from CRAN:
install.packages("simDAG")

Install from Github:
library("remotes")
install_github("cran/simDAG")

Install by package version:
library("remotes")
install_version("simDAG", "0.5.0")



Attach the package and use:
library("simDAG")
Maintained by
Robin Denz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-28
Latest Update: 2025-06-24
Description:
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.
How to cite:
Robin Denz (2023). simDAG: Simulate Data from a (Time-Dependent) Causal DAG. R package version 0.5.0, https://cran.r-project.org/web/packages/simDAG. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.1.0 (2023-08-28 21:40), 0.1.1 (2024-03-07 21:20), 0.1.2 (2024-06-13 17:30), 0.2.0 (2024-09-03 08:40), 0.2.1 (2025-01-07 19:10), 0.2.2 (2025-02-23 16:30), 0.3.0 (2025-03-30 18:00), 0.3.1 (2025-05-28 10:00), 0.3.2 (2025-06-24 15:30), 0.4.0 (2025-08-27 21:00), 0.4.1 (2025-10-15 18:50), 0.5.0 (2026-01-08 19:00), 0.5.1 (2026-03-10 08:50), 0.5.2 (2026-03-30 12:30)
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Complete documentation for simDAG
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