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MAIVE  

Meta Analysis Instrumental Variable Estimator
View on CRAN: Click here


Download and install MAIVE package within the R console
Install from CRAN:
install.packages("MAIVE")

Install from Github:
library("remotes")
install_github("cran/MAIVE")

Install by package version:
library("remotes")
install_version("MAIVE", "0.3.0")



Attach the package and use:
library("MAIVE")
Maintained by
Petr Cala
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-08
Latest Update: 2025-12-08
Description:
Meta-analysis traditionally assigns more weight to studies with lower standard errors, assuming higher precision. However, in observational research, precision must be estimated and is vulnerable to manipulation, such as p-hacking, to achieve statistical significance. This can lead to spurious precision, invalidating inverse-variance weighting and bias-correction methods like funnel plots. Common methods for addressing publication bias, including selection models, often fail or exacerbate the problem. This package introduces an instrumental variable approach to limit bias caused by spurious precision in meta-analysis. Methods are described in 'Irsova et al.' (2025) <doi:10.1038/s41467-025-63261-0>.
How to cite:
Petr Cala (2025). MAIVE: Meta Analysis Instrumental Variable Estimator. R package version 0.3.0, https://cran.r-project.org/web/packages/MAIVE. Accessed 09 Oct. 2026.
Previous versions and publish date:
0.1.10 (2025-12-08 09:40), 0.1.11 (2025-12-18 08:52), 0.2.4 (2026-02-04 12:20), 0.2.5 (2026-08-20 07:24), (2026-09-03 16:30)
Other packages that cited MAIVE R package
View MAIVE citation profile
Other R packages that MAIVE depends, imports, suggests or enhances
Complete documentation for MAIVE
Functions, R codes and Examples using the MAIVE R package
Full MAIVE package functions and examples
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