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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 http://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 = "http://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: http://lajeunesse.myweb.usf.edu.
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.
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