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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
packageThe package 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:
help(package="mixmeta")in R after installation (see below).
The last version officially released on CRAN can be installed directly within R by typing:
install.packages("mixmeta")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]
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.