Package: weightr 2.0.2

Kathleen M. Coburn

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.

Authors:Kathleen M. Coburn [aut, cre], Jack L. Vevea [aut]

weightr_2.0.2.tar.gz
weightr_2.0.2.tar.gz(r-4.5-noble)weightr_2.0.2.tar.gz(r-4.4-noble)
weightr_2.0.2.tgz(r-4.4-emscripten)weightr_2.0.2.tgz(r-4.3-emscripten)
weightr.pdf |weightr.html
weightr/json (API)

# Install 'weightr' in R:
install.packages('weightr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • dat.bangertdrowns2004 - Studies on the Effectiveness of Writing-to-Learn Interventions
  • dat.gatb - Studies of the Predictive Validity of the General Ability Subscale of the General Aptitude Test Battery
  • dat.smith - Studies From Smith, Glass, and Miller's (1980) Meta-Analysis of Psychotherapy Outcomes

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.28 score 32 scripts 759 downloads 6 mentions 4 exports 28 dependencies

Last updated 5 years agofrom:af3c9bc0df. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 22 2024
R-4.5-linuxOKDec 22 2024

Exports:densityfunnelshiny_weightrweightfunct

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr