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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: 10.32614/CRAN.package.sim.BA
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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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