vbm
0.1.0Variance-Based Sensitivity Analysis for Weighting Estimators
Overview
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.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-016 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 57%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 78%
Downloads
Repository
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Repository practices
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Checks run against github.com/staniks0/vbm on 2026-08-16.
Dependencies
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 0.1.0Latest2026-07-01 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-01
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Bundled data
- 52 KB / 2 files
- Download size
- 476 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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