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A flexible tool for simulating complex longitudinal data using structural equations, with emphasis on problems in causal inference. Specify interventions and simulate from intervened data generating distributions. Define and evaluate treatment-specific means, the average treatment effects and coefficients from working marginal structural models. User interface designed to facilitate the conduct of transparent and reproducible simulation studies, and allows concise expression of complex functional dependencies for a large number of time-varying nodes. See the package vignette for more information, documentation and examples.
| Version: | 0.5.6 |
| Depends: | R (≥ 3.2.0) |
| Imports: | data.table, igraph, stringr, R6, assertthat, Matrix, methods |
| Suggests: | copula, RUnit, ltmle, knitr, ggplot2, Hmisc, mvtnorm, bindata |
| Published: | 2022-10-28 |
| Author: | Oleg Sofrygin [aut], Mark J. van der Laan [aut], Romain Neugebauer [aut], Fred Gruber [ctb, cre] |
| Maintainer: | Fred Gruber <fgruber at gmail.com> |
| BugReports: | https://github.com/osofr/simcausal/issues |
| License: | GPL-2 |
| URL: | https://github.com/osofr/simcausal |
| NeedsCompilation: | no |
| Citation: | simcausal citation info |
| Materials: | README NEWS |
| CRAN checks: | simcausal results |
| Reference manual: | simcausal.pdf |
| Vignettes: |
simcausal Package: Simulations with Complex Longitudinal Data (Technical Details and Extended Examples) |
| Package source: | simcausal_0.5.6.tar.gz |
| Windows binaries: | r-devel: simcausal_0.5.6.zip, r-release: simcausal_0.5.6.zip, r-oldrel: simcausal_0.5.6.zip |
| macOS binaries: | r-release (arm64): simcausal_0.5.6.tgz, r-oldrel (arm64): simcausal_0.5.6.tgz, r-release (x86_64): simcausal_0.5.6.tgz, r-oldrel (x86_64): simcausal_0.5.6.tgz |
| Old sources: | simcausal archive |
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These binaries (installable software) and packages are in development.
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