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simDAG: Simulate Data from a DAG and Associated Node Information
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.
Package details |
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| Author | Robin Denz [aut, cre], Katharina Meiszl [aut] |
| Maintainer | Robin Denz <robin.denz@rub.de> |
| License | GPL (>= 3) |
| Version | 0.3.0 |
| URL | https://github.com/RobinDenz1/simDAG https://robindenz1.github.io/simDAG/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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