Meta-analysis package for R
This package provides a comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e. mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g. due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g. due to phylogenetic relatedness) can also be conducted.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/lxl5nqnci8d45r2dwck8lpmbn8ich5bj-r-metafor-2.4-0.drv | ||
mips64el-linux | /gnu/store/h7dq1rl2kv0lig5qr4wsqviczrqdws4p-r-metafor-2.4-0.drv | ||
i686-linux | /gnu/store/nynx07bk345h0kxz3xqy1vr2qg8r6j6l-r-metafor-2.4-0.drv | ||
i586-gnu | /gnu/store/apjph5qfgpj6bghbysh9wank5wymr72w-r-metafor-2.4-0.drv | ||
armhf-linux | /gnu/store/dlpdddfg5h4b0yfpma0p9kx2xp6hgigj-r-metafor-2.4-0.drv | ||
aarch64-linux | /gnu/store/8nwraldck5ppdm9fvp0r86kvccvhx8k0-r-metafor-2.4-0.drv |
Linter | Message | Location |
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No lint warnings ✓ |