vbm

Variance-Based Sensitivity Analysis for Weighting Estimators

Provides methods for variance-based sensitivity analysis and weighting estimators in observational studies based on methodology by Huang & Pimentel (2025) . Includes bootstrap inference, bias bounds estimation, and visualization tools for sensitivity parameters.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("vbm")

0.1.0 by Jiayao Gan, 3 months ago

https://github.com/Staniks0/vbm

Report a bug at https://github.com/Staniks0/vbm/issues

Browse source code at https://github.com/cran/vbm

Authors: Jiayao Gan [aut, cre] , Melody Huang [aut] , Samuel D. Pimentel [aut] , Andy A. Shen [aut] , National Science Foundation [fnd] (Grant #2142146)

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports parallel, magrittr, dplyr, WeightIt, estimatr, ggplot2, scales

Suggests jointVIP, knitr, rmarkdown, pkgdown, cobalt, osqp

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug