https://github.com/IyarLin/simMixedDAG

The simMixedDAG package enables simulation of "real life" datasets from DAGs
https://github.com/IyarLin/simMixedDAG

causal-inference causality dag r r-package simulation

Last synced: 11 months ago
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The simMixedDAG package enables simulation of "real life" datasets from DAGs

• Host: GitHub
• URL: https://github.com/IyarLin/simMixedDAG
• Owner: IyarLin
• License: gpl-2.0
• Created: 2019-07-21T13:31:03.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-10-12T18:50:24.000Z (over 6 years ago)
• Last Synced: 2024-07-31T19:25:43.199Z (over 1 year ago)
• Topics: causal-inference, causality, dag, r, r-package, simulation
• Language: R
• Size: 302 KB
• Stars: 13
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# simMixedDAG



The simMixedDAG package contains functions for simulation of both

parametric and non-parametric datasets from DAG models. It also enables calculating

average treatment effects in DAG models.

For a "vignette" of sorts see my [blog post](https://iyarlin.github.io/2019/07/23/mixed_dag_simulation_using_simmixeddag_package/).

I'm a rather poor progarammer and there's probably plenty of bugs abound.  

If you happen to run into trouble please open an issue or consider improving the code.

Kudos to Guangchuang YU for authoring the cool [hexSticker](https://github.com/GuangchuangYu/hexSticker) package, which makes creating hexagon sticker for your package (like the one on the right) a breeze.