simcausal
Simulating Longitudinal Data with Causal Inference Applications
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.
- Version0.5.7
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- simcausal citation info
- Last release10/19/2024
Documentation
Team
Fred Gruber
Oleg Sofrygin
Show author detailsRolesAuthorMark J. van der Laan
Show author detailsRolesAuthorRomain Neugebauer
Show author detailsRolesAuthor
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- Imports6 packages
- Suggests8 packages