Multivariate and Univariate Meta-Analysis and Meta-Regression.
Multivariate and Univariate Meta-Analysis and Meta-Regression
The package consists of a collection of functions to perform various meta-analytical models, 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 a series of articles referenced at the end of this document.
Info on the mvmeta package
The package mvmeta is now superseded by the package mixmeta. The users are strongly suggested to replace it with the new package, as the development of mvmeta is now discontinued. For the time being, the mvmeta package is still maintained and available on the Comprehensive R Archive Network (CRAN), with info at the related web page (https://cran.r-project.org/package=mvmeta). A (discontinued) development website is available on GitHub (https://github.com/gasparrini/mvmeta).
Installation
The last version officially released on CRAN can be installed directly within R by typing:
install.packages("mvmeta")
R code in published articles
Several peer-reviewed articles and documents provide R code illustrating methodological developments of mvmeta or replicating substantive results using this package. An updated version of the code can be found at the GitHub (https://github.com/gasparrini) or personal web page (http://www.ag-myresearch.com) of the package maintainer.
References:
Gasparrini A. Multivariate meta-analysis for non-linear and other multi-parameter associations. Statistics in Medicine. 2012; 31(29):3821-3839. [freely available here]
Gasparrini A., Armstrong, B., Kenward M. G. Reducing and meta-analyzing estimates from distributed lag non-linear models. BMC Medical Research Methodology. 2013; 13(1):1. [freely available here].