multibiasmeta
0.2.2Sensitivity Analysis for Multiple Biases in Meta-Analyses
Overview
Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as by publication bias. This package conducts sensitivity analyses for the joint effects of these biases (per Mathur (2022) doi:10.31219/osf.io/u7vcb). These sensitivity analyses address two questions: (1) For a given severity of internal bias across studies and of publication bias, how much could the results change?; and (2) For a given severity of publication bias, how severe would internal bias have to be, hypothetically, to attenuate the results to the null or by a given amount?
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 50%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
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Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/mathurlabstanford/multibiasmeta on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.2.2Latest
- 0.2.12023-08-21 · diff ↗
- 0.2.02023-08-18 · diff ↗
- unarchivedReturned to CRAN2023-08-18
- archivedRemoved from CRAN2023-06-10issues were not corrected in time
- RR 4.3.0 released · 2023-04-21
- 0.1.02023-02-08
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-02-08
- Total releases
- 4 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 2.5 KB / 1 file
- Download size
- 58 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet