Skip to content

senseweight

0.0.1

Sensitivity Analysis for Weighted Estimators

0packages depend
5.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Melody HuangFirst published 2025-08-221 releasesCRAN page ↗

Provides tools to conduct interpretable sensitivity analyses for weighted estimators, introduced in Huang (2024) doi:10.1093/jrsssa/qnae012 and Hartman and Huang (2024) doi:10.1017/pan.2023.12. The package allows researchers to generate the set of recommended sensitivity summaries to evaluate the sensitivity in their underlying weighting estimators to omitted moderators or confounders. The tools can be flexibly applied in causal inference settings (i.e., in external and internal validity contexts) or survey contexts.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 210 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
8%

Downloads

5.3K
CRAN downloads in the past year
Rank #8,549 · ~15/day · ~445/mo
Daily download trend is not available in this view yet.
18030 days
1.1K90 days
5.3K1 year
Compare downloads with other packages →
Also on81 r2u22 autocran

Repository

Repository
7Stars
2Forks
0Open issues
0Open PRs
0Releases
37Commits
4Contributors
causalitysensitivityipw
37 commits · Last activity 2025-08-15 · 0% stars, 30d

Stars over time

2024-12-10 · 52026-07-07 · 7

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/melodyyhuang/senseweight on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Show all practices
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 (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-08-22
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
45 KB / 2 files
Download size
533 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("senseweight")
Huang, M. (2025). senseweight: Sensitivity Analysis for Weighted Estimators (Version 0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.senseweight

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 senseweight version 0.0.1 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy