weightr: Estimating Weight-Function Models for Publication Bias

Estimates the Vevea and Hedges (1995) weight-function model. By specifying arguments, users can also estimate the modified model described in Vevea and Woods (2005), which may be more practical with small datasets. Users can also specify moderators to estimate a linear model. The package functionality allows users to easily extract the results of these analyses as R objects for other uses. In addition, the package includes a function to launch both models as a Shiny application. Although the Shiny application is also available online, this function allows users to launch it locally if they choose.

Version: 2.0.2
Depends: R (≥ 3.3.0), ggplot2, scales
Suggests: shiny (≥ 0.12.2)
Published: 2019-07-06
Author: Kathleen M. Coburn [aut, cre], Jack L. Vevea [aut]
Maintainer: Kathleen M. Coburn <kcoburn at ucmerced.edu>
License: GPL-2 | GPL-3
URL: http://faculty.ucmerced.edu/jvevea/, https://vevealab.shinyapps.io/WeightFunctionModel/, http://faculty.ucmerced.edu/jvevea/other/Vevea_and_Hedges_1995.pdf, http://faculty.ucmerced.edu/jvevea/other/Vevea_and_Woods_Psy_Meth.pdf
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: weightr results


Reference manual: weightr.pdf
Package source: weightr_2.0.2.tar.gz
Windows binaries: r-devel: weightr_2.0.2.zip, r-devel-gcc8: weightr_2.0.2.zip, r-release: weightr_2.0.2.zip, r-oldrel: weightr_2.0.2.zip
OS X binaries: r-release: weightr_2.0.2.tgz, r-oldrel: weightr_2.0.2.tgz
Old sources: weightr archive

Reverse dependencies:

Reverse imports: MAVIS


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