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Provides methods for variance-based sensitivity analysis and weighting estimators in observational studies based on methodology by Huang & Pimentel (2025) <doi:10.1093/biomet/asae040>. Includes bootstrap inference, bias bounds estimation, and visualization tools for sensitivity parameters.
| Version: | 0.1.0 |
| Imports: | parallel, magrittr, dplyr, WeightIt, estimatr, ggplot2, scales |
| Suggests: | jointVIP, knitr, rmarkdown, pkgdown, cobalt, osqp |
| Published: | 2026-06-30 |
| DOI: | 10.32614/CRAN.package.vbm |
| Author: | Jiayao Gan [aut, cre], Melody Huang [aut], Samuel D. Pimentel [aut], Andy A. Shen [aut], National Science Foundation [fnd] (Grant #2142146) |
| Maintainer: | Jiayao Gan <u3612852 at connect.hku.hk> |
| BugReports: | https://github.com/Staniks0/vbm/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Staniks0/vbm |
| NeedsCompilation: | no |
| CRAN checks: | vbm results |
| Reference manual: | vbm.html , vbm.pdf |
| Vignettes: |
Variance-Based Sensitivity Analysis for Weighting Estimators (source, R code) |
| Package source: | vbm_0.1.0.tar.gz |
| Windows binaries: | r-devel: vbm_0.1.0.zip, r-release: vbm_0.1.0.zip, r-oldrel: vbm_0.1.0.zip |
| macOS binaries: | r-release (arm64): vbm_0.1.0.tgz, r-oldrel (arm64): vbm_0.1.0.tgz, r-release (x86_64): vbm_0.1.0.tgz, r-oldrel (x86_64): vbm_0.1.0.tgz |
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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.