The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
DOI: 10.32614/CRAN.package.weightr
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

Documentation:

Reference manual: weightr.pdf

Downloads:

Package source: weightr_2.0.2.tar.gz
Windows binaries: r-devel: weightr_2.0.2.zip, r-release: weightr_2.0.2.zip, r-oldrel: weightr_2.0.2.zip
macOS binaries: r-release (arm64): weightr_2.0.2.tgz, r-oldrel (arm64): weightr_2.0.2.tgz, r-release (x86_64): weightr_2.0.2.tgz, r-oldrel (x86_64): weightr_2.0.2.tgz
Old sources: weightr archive

Reverse dependencies:

Reverse suggests: RoBMA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=weightr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.