metagear-package: Research synthesis tools to facilitate systematic reviews,...

In metagear: Comprehensive Research Synthesis Tools for Systematic Reviews and Meta-Analysis

Description

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/.

Details

What to cite?

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 here ]

Installation and Dependencies.

metagear has one external dependency that need 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 of its dependencies):

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

Finally for Mac OS users, installation is sometimes not straighforward as the abstract_screener() requires the Tcl/Tk GUI toolkit to be installed. You can get this toolkit by making sure the latest X11 application (xQuartz) is installed from here: https://www.xquartz.org/.

Author(s)

Marc J. Lajeunesse (University of South Florida, Tampa USA)

References

Pau, G., Fuchs, F., Sklyar, O., Boutros, M. and Huber, W. (2010) EBImage: an R package for image processing with applications to cellular phenotypes. Bioinformatics 26: 979-981.

metagear documentation built on Feb. 15, 2021, 5:09 p.m.