extending previous works by Schwartz and Zanobetti (2000)

Suggests: future, multtest, mgcv, gamm4, gratia, roxygen2, rmarkdown,
devtools, covr, viridis, testthat (>= 2.1.0)

methods are described in Sorensen et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>,
Imports: mgcv, ggplot2, knitr, metafor, rlang
Suggests: roxygen2, rmarkdown, devtools, covr, testthat (>= 2.1.0)

Suggests: roxygen2, knitr, rmarkdown, devtools, covr, testthat (>=

Title: Comprehensive Research Synthesis Tools for Systematic Reviews
Authors@R: person("Marc J.", "Lajeunesse", email = "lajeunesse@usf.edu", role = c("aut", "cre"))
Description: 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; automated data extractions from scatter-plots; 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effect sizes with a common control); and finally summaries that replicate analyses and outputs from widely used but no longer updated meta-analysis software.  Funding for this package was supported by National Science Foundation (NSF) grants DBI-1262545 and DEB-1451031.
Imports: EBImage (>= 4.4.0), gWidgetsRGtk2 (>= 0.0-83), gWidgets (>=

Description: 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; 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.  Funding for this package was supported by National Science Foundation (NSF) grants DBI-1262545 and DEB-1451031.