The package consists of a collection of functions to perform various meta-analytical models within a unified mixed-effects framework, including standard univariate fixed and random-effects meta-analysis and meta-regression, and non-standard extensions such as multivariate, multilevel, longitudinal, and dose-response models. The methodology is illustrated in detail in the article by Sera et al (see below).
mixmeta is available on the Comprehensive R Archive Network (CRAN), with info at the related web page (https://cran.r-project.org/package=mixmeta). A development website is available on GitHub (https://github.com/gasparrini/mixmeta).
For a short summary of the functionalities of this package, refer to the main help page by typing:
in R after installation (see below).
The last version officially released on CRAN can be installed directly within R by typing:
Peer-reviewed articles and documents provide R code illustrating methodological developments of
mixmeta or replicating substantive results using this package. An updated version of the code will be available the GitHub (https://github.com/gasparrini) or personal web page (http://www.ag-myresearch.com) of the package maintainer.
Sera F, Armstrong B, Blangiardo M, Gasparrini A. An extended mixed-eﬀects framework for meta-analysis. Statistics in Medicine. 2019;38(29):5429-5444 [freely available here]
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