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.
| Version: | 0.1.1 |
| Depends: | data.table |
| Imports: | dplyr, Rfast, rlang |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0), ggplot2, igraph, ggforce, MASS, covr, foreach, doSNOW, doRNG, parallel |
| Published: | 2024-03-07 |
| 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 |
| Reference manual: | simDAG.pdf |
| Vignettes: |
Simulating Covid-19 Vaccine Data using a Discrete-Time Simulation Simulating Data using a Discrete-Time Approach Simulating Data from a known DAG |
| Package source: | simDAG_0.1.1.tar.gz |
| Windows binaries: | r-devel: simDAG_0.1.1.zip, r-release: simDAG_0.1.1.zip, r-oldrel: simDAG_0.1.1.zip |
| macOS binaries: | r-release (arm64): simDAG_0.1.1.tgz, r-oldrel (arm64): simDAG_0.1.1.tgz, r-release (x86_64): simDAG_0.1.1.tgz, r-oldrel (x86_64): simDAG_0.1.1.tgz |
| Old sources: | simDAG archive |
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