The R package mvmeta
The package mvmeta consists of a collection of functions to perform fixed and random-effects multivariate and univariate meta-analysis and meta-regression in R. In particular, multivariate meta-analytical models represent an extension of the standard univariate techniques, where estimates of multiple outcomes are combined across studies while accounting for their correlation.
The package is now superseded by the new R package mixmeta. The development of mvmeta is now discontinued, although the package for the time being is still maintained in the Comprehensive R Archive Network (CRAN) (see the related page), where has been available since May 2011. The users are strongly recommended to use the new package mixmeta, which provides a more general modelling framework and more developed routines.
An article published in Statistics in Medicine illustrated the application of this modelling framework to pool estimates of multi-parameter functions for describing non-linear associations, and introduces the package. This can be considered the main reference for citation purposes. The package has implemented various development of the statistical framework, and has been used in several applications (see some examples in the R code section).
The package is now superseded by the new R package mixmeta. The development of mvmeta is now discontinued, although the package for the time being is still maintained in the Comprehensive R Archive Network (CRAN) (see the related page), where has been available since May 2011. The users are strongly recommended to use the new package mixmeta, which provides a more general modelling framework and more developed routines.
An article published in Statistics in Medicine illustrated the application of this modelling framework to pool estimates of multi-parameter functions for describing non-linear associations, and introduces the package. This can be considered the main reference for citation purposes. The package has implemented various development of the statistical framework, and has been used in several applications (see some examples in the R code section).
