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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sim.BA to link to this page.
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