Simulation-Based Bias Analysis for Observational Studies R package sim.BA version 0.1.0 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. Software 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 Rishi Desai <rdesai@bwh.harvard.edu> Comprehensive R Archive Network (CRAN) Rishi Desai [aut, cre] (ORCID: <https://orcid.org/0000-0003-0299-7273>), Noah Greifer [aut] (ORCID: <https://orcid.org/0000-0003-3067-7154>) GPL (>= 2) 2024-04-22 application/tgz https://CRAN.R-project.org/package=sim.BA doi:10.32614/CRAN.package.sim.BA