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vbm  

Variance-Based Sensitivity Analysis for Weighting Estimators
View on CRAN: Click here


Download and install vbm package within the R console
Install from CRAN:
install.packages("vbm")

Install from Github:
library("remotes")
install_github("cran/vbm")

Install by package version:
library("remotes")
install_version("vbm", "0.1.0")



Attach the package and use:
library("vbm")
Maintained by
Jiayao Gan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
Description:
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.
How to cite:
Jiayao Gan (2026). vbm: Variance-Based Sensitivity Analysis for Weighting Estimators. R package version 0.1.0, https://cran.r-project.org/web/packages/vbm. Accessed 14 Jul. 2026.
Previous versions and publish date:
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Complete documentation for vbm
Functions, R codes and Examples using the vbm R package
Full vbm package functions and examples
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