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EValue

4.1.4

Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

3packages depend
32.6Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Maya B. MathurFirst published 2017-10-3015 releasesCRAN page ↗

Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) doi:10.7326/M16-2607; Smith & VanderWeele (2019) doi:10.1097/EDE.0000000000001032; VanderWeele & Li (2019) doi:10.1093/aje/kwz133; Smith, Mathur, & VanderWeele (2021) doi:10.1097/EDE.0000000000001380). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) doi:10.1080/01621459.2018.1529598; Mathur & VanderWeele (2020b) doi:10.1097/EDE.0000000000001180) and for additive measures of effect modification (Mathur et al., doi:10.1093/ije/dyac073).

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.65
0.0%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    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 · 212 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
35%
References docs
26%

Downloads

32.6K
CRAN downloads in the past year
Rank #2,171 · ~89/day · ~2.7K/mo
Daily download trend is not available in this view yet.
2.1K30 days
9.1K90 days
32.6K1 year
Compare downloads with other packages →
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Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (8)
statsgraphicsggplot2metaformethodsbootMetaUtilitydplyr
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Maintainer, Author
Authors (4)
Maintainer, Author
Author
Author · added in 2.0.0
Package Timeline

15 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 4.1.4Latest
    2025-08-29 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 4.1.3
    2021-10-28 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 4.1.2
    2021-04-01 · diff ↗
  • 4.1.1
    2021-01-04 · diff ↗
  • 4.1.0
    2020-11-18 · diff ↗
  • 3.0.0
    2020-06-16 · diff ↗
  • 2.1.0
    2020-05-17 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0.0
    2019-04-01 · diff ↗
Show 9 earlier events
  • 1.1.5
    2018-09-18 · diff ↗
  • 1.1.4
    2018-05-18 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1.3
    2018-04-04 · diff ↗
  • 1.1.2
    2018-03-29 · diff ↗
  • 1.1.1
    2017-12-21 · diff ↗
  • 1.1.0
    2017-11-29 · diff ↗
  • 1.0.0
    2017-10-30
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-10-30
Total releases
15 / 9 yrs
License
GPL-2 OSI
Bundled data
31 KB / 3 files
Download size
1.6 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EValue")
Mathur, M. B., Ding, P., Smith, L. H., & VanderWeele, T. J. (2025). EValue: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses (Version 4.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.EValue

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 EValue version 4.1.4 [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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