The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
| Version: | 0.1.10 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, clubSandwich |
| Suggests: | testthat, knitr, rmarkdown, varhandle |
| Published: | 2025-12-08 |
| DOI: | 10.32614/CRAN.package.MAIVE (may not be active yet) |
| Author: | Zuzana Irsova [aut] (affiliation: Charles University, Prague), Pedro R. D. Bom [aut] (affiliation: University of Deusto, Bilbao), Tomas Havranek [aut] (affiliation: Charles University, Prague; CEPR, London; METRICS, Stanford), Heiko Rachinger [aut] (affiliation: University of the Balearic Islands, Palma), Petr Cala [aut, cre] (affiliation: Charles University, Prague) |
| Maintainer: | Petr Cala <cala.p at seznam.cz> |
| BugReports: | https://github.com/meta-analysis-es/maive/issues |
| License: | MIT + file LICENSE |
| URL: | https://meta-analysis.cz/maive/, https://github.com/meta-analysis-es/maive |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | MAIVE results |
| Reference manual: | MAIVE.html , MAIVE.pdf |
| Vignettes: |
Getting Started with MAIVE (source, R code) |
| Package source: | MAIVE_0.1.10.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): MAIVE_0.1.10.tgz, r-oldrel (arm64): MAIVE_0.1.10.tgz, r-release (x86_64): MAIVE_0.1.10.tgz, r-oldrel (x86_64): MAIVE_0.1.10.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MAIVE to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.