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.
| Version: | 0.1.0 |
| Imports: | mgcv (≥ 1.8-12), glm2 (≥ 1.1.2), nlme (≥ 3.1-128), survival (≥ 2.40-1), MASS, arm, lme4, twang, gbm, lattice, splines, parallel, survey, grid, Matrix, xtable, latticeExtra, RColorBrewer, epiDisplay, foreign, nnet |
| Published: | 2017-10-15 |
| Author: | Jessica M. Franklin, Younathan Abdia, Shirley V. Wang. |
| Maintainer: | Younathan Abdia <yabdia at bwh.harvard.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Plasmode results |
| Reference manual: | Plasmode.pdf |
| Package source: | Plasmode_0.1.0.tar.gz |
| Windows binaries: | r-devel: Plasmode_0.1.0.zip, r-release: Plasmode_0.1.0.zip, r-oldrel: Plasmode_0.1.0.zip |
| macOS binaries: | r-release: Plasmode_0.1.0.tgz, r-oldrel: Plasmode_0.1.0.tgz |
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