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vbm

0.1.0

Variance-Based Sensitivity Analysis for Weighting Estimators

0packages depend
403downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jiayao GanFirst published 2026-07-011 releasesCRAN page ↗GitHub ↗

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

CRAN checks
13OK
Slowest check: 11.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-01
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
57%
Documented parameters
96%
Return-value docs
100%
References docs
78%

Downloads

403
CRAN downloads in the past year
Rank #23,645 · ~1/day · ~34/mo
Daily download trend is not available in this view yet.
17330 days
40390 days
4031 year
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Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
0Releases
3Commits
2Contributors
causal-inferencesensitivity-analysis
3 commits · Last activity 2026-06-15 · 0% stars, 30d

Stars over time

2026-06-15 · 22026-07-07 · 3

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/staniks0/vbm on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Funders (1)
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-07-01 · current release
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("vbm")
Gan, J., National Science Foundation, Huang, M., Pimentel, S. D., & Shen, A. A. (2026). vbm: Variance-Based Sensitivity Analysis for Weighting Estimators (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.vbm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for vbm version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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