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.


The package includes a function that estimates the Vevea and Hedges (1995) weight-function model in R. 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.

Installation

You can install the released version of weightr from CRAN with:

install.packages("weightr")

News

NEWS

weightr v2.0.1 (Release date: 2019-03-05)

Changes:

  • Fixed a major bug in printing results that required users to wrap weightfunct() in print() and threw an error otherwise

weightr v2.0.0 (Release date: 2019-02-28)

Changes:

  • Reorganized and cleaned up code for weightfunct()
  • Added a new example dataset, dat.smith, and documentation
  • Added a new function, funnel(), to create a basic funnel plot using either sampling variance or standard error
  • Added a new function, density(), to create a plot of the unadjusted and adjusted weight-function model densities
  • Added a new function, predict.weightfunct(), to calculate conditional means given a matrix of predictor values

weightr v1.1.2 (Release date: 2017-04-03)

Changes:

  • Fixed a significant problem with printing output.

Reference manual

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