metagear is a comprehensive, multifunctional toolbox with capabilities aimed to cover much of the research synthesis taxonomy: from applying a systematic review approach to objectively assemble and screen the literature, to extracting data from studies, and to finally summarize and analyze these data with the statistics of meta-analysis. More information about metagear can be found at https://lajeunesse.myweb.usf.edu.

metagear has an external dependency that needs to be installed and loaded prior to use in R. This is the EBImage R package (Pau et al. 2010) available only from the Bioconductor repository: https://www.bioconductor.org. To properly install metagear, start with the following R script that loads the Bioconductor resources needed to install the EBImage (also accept all dependencies):

install.packages("BiocManager"); 
BiocManager::install("EBImage")
library(metagear)

This dependency sometimes results in CRAN failing to generate a binary of metagear for your OS -- which sadly happens often. In this case install from the source, for example:

install.packages("metagear_0.7.tar.gz", repos = "https://cran.us.r-project.org", type = "source", dependencies = TRUE)
library(metagear)

Lajeunesse, M.J. (2016) Facilitating systematic reviews, data extraction and meta-analysis with the metagear package for R. Methods in Ecology and Evolution 7, 323−330. Download PDF here: https://lajeunesse.myweb.usf.edu.