Functionalities for facilitating systematic reviews, data extractions, and meta-analyses. It includes a GUI (graphical user interface) to help screen the abstracts and titles of bibliographic data; tools to assign screening effort across multiple collaborators/reviewers and to assess inter- reviewer reliability; tools to help automate the download and retrieval of journal PDF articles from online databases; figure and image extractions from PDFs; web scraping of citations; automated and manual data extraction from scatter-plot and bar-plot images; PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools to fill gaps in incomplete or missing study parameters; generation of random effects sizes for Hedges' d, log response ratio, odds ratio, and correlation coefficients for Monte Carlo experiments; covariance equations for modelling dependencies among multiple effect sizes (e.g., effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software (i.e., metawin). Funding for this package was supported by National Science Foundation (NSF) grants DBI-1262545 and DEB-1451031. 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 <doi:10.1111/2041-210X.12472>.
| Version: | 0.7 |
| Depends: | R (≥ 3.3.2) |
| Imports: | Matrix, MASS, metafor (≥ 1.9-9), stringr |
| Suggests: | EBImage, ape, hexView, RCurl, testthat, R.rsp |
| Published: | 2021-02-15 |
| DOI: | 10.32614/CRAN.package.metagear |
| Author: | Marc J. Lajeunesse
|
| Maintainer: | Marc J. Lajeunesse <lajeunesse at usf.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://lajeunesse.myweb.usf.edu/ https://github.com/mjlajeunesse/ https://www.youtube.com/c/LajeunesseLab/ |
| NeedsCompilation: | no |
| SystemRequirements: | Tcl/Tk toolkit (X11 Quarts for Mac) |
| Citation: | metagear citation info |
| Materials: | README, NEWS |
| In views: | MetaAnalysis, MissingData |
| CRAN checks: | metagear results |
| Reference manual: | metagear.html , metagear.pdf |
| Vignettes: |
Basic examples of screening studies, extracting data and meta-analysis with the metagear package for R (source) |
| Package source: | metagear_0.7.tar.gz |
| Windows binaries: | r-devel: metagear_0.7.zip, r-release: metagear_0.7.zip, r-oldrel: metagear_0.7.zip |
| macOS binaries: | r-release (arm64): metagear_0.7.tgz, r-oldrel (arm64): metagear_0.7.tgz, r-release (x86_64): metagear_0.7.tgz, r-oldrel (x86_64): metagear_0.7.tgz |
| Old sources: | metagear archive |
| Reverse suggests: | searchAnalyzeR |
Please use the canonical form https://CRAN.R-project.org/package=metagear to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.