Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | chk (≥ 0.9.1),cobalt (≥ 4.5.3),ggplot2 (≥ 3.4.4),scales (≥ 1.3.0),pbapply (≥ 1.7-2),rlang (≥ 1.1.3), stats,survival, utils |
| Suggests: | MatchIt (≥ 4.5.5),WeightIt (≥ 0.14.2), parallel,openxlsx (≥ 4.2.5.2),knitr,rmarkdown |
| Published: | 2024-04-22 |
| DOI: | 10.32614/CRAN.package.sim.BA |
| Author: | Rishi Desai [aut, cre], Noah Greifer [aut] |
| Maintainer: | Rishi Desai <rdesai at bwh.harvard.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | sim.BA results |