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Creates realistic simulated datasets for causal inference based on a user-supplied example study, Franklin JM, Schneeweiss S, Polinski JM, and Rassen JA (2014) <doi:10.1016/j.csda.2013.10.018>. It samples units from the data with replacement, and then simulates the exposure, the outcome, or both, based on the observed covariate values in the real data.
Package details |
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Author | Jessica M. Franklin, Younathan Abdia, Shirley V. Wang. |
Maintainer | Younathan Abdia <yabdia@bwh.harvard.edu> |
License | GPL-2 |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
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