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.
|Author||Jessica M. Franklin, Younathan Abdia, Shirley V. Wang.|
|Maintainer||Younathan Abdia <email@example.com>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.