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; 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widely used but no longer updated meta-analysis software. Funding for this
package was supported by National Science Foundation (NSF) grants
Imports: EBImage (>= 4.16.0), gWidgetsRGtk2 (>= 0.0-83), gWidgets (>=
Packaged: 2017-01-03 15:12:12 UTC; lajeunesse

Imports: EBImage (>= 4.14.0), gWidgetsRGtk2 (>= 0.0-83), gWidgets (>=
Packaged: 2017-03-24 16:39:11 UTC; lajeunesse

Title: Generalised Inference in the Random Effects Meta Regression
Description: Provides methods for making inference in the random
effects meta regression model, such as point estimates and
confidence intervals for the heterogeneity parameter and the
Packaged: 2012-11-29 11:13:24 UTC; friedrich

Title: Inference in Meta Analysis and Meta Regression
Description: Provides methods for making inference in the random effects meta
regression model, such as point estimates and confidence intervals for the
heterogeneity parameter and the regression coefficients vector.  Inference
method are based on different statistical approaches.  Also includes tools
to run extensive simulation studies in parallel on high performance
clusters.  This allows for extensive testing of current inference methods
with new and state-of-the-art methods.  Functions for evaluating the
performance of both point and interval estimates are provided.  Also, a
large collection of different pre-defined plotting functions is implemented
Author: Thomas W. D. Möbius <kontakt@thomasmoebius.de>
Maintainer: Thomas W. D. Möbius <kontakt@thomasmoebius.de>
Imports: MASS, lhs, plyr, BBmisc, ParamHelpers, BatchJobs,
Packaged: 2014-03-21 08:27:04 UTC; thomas.moebius