sim.BA: Simulation-Based Bias Analysis for Observational Studies

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: NA
Author: Rishi Desai ORCID iD [aut, cre], Noah Greifer ORCID iD [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:

Reference manual: sim.BA.pdf
Vignettes: Simulation-based Bias Analysis ('sim.BA')

Downloads:

Package source: sim.BA_0.1.0.tar.gz
Windows binaries: r-devel: sim.BA_0.1.0.zip, r-release: sim.BA_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): sim.BA_0.1.0.tgz, r-release (x86_64): sim.BA_0.1.0.tgz, r-oldrel (x86_64): sim.BA_0.1.0.tgz

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