Other packages > Find by keyword >

vcmeta  

Varying Coefficient Meta-Analysis
View on CRAN: Click here


Download and install vcmeta package within the R console
Install from CRAN:
install.packages("vcmeta")

Install from Github:
library("remotes")
install_github("cran/vcmeta")

Install by package version:
library("remotes")
install_version("vcmeta", "1.5.0")



Attach the package and use:
library("vcmeta")
Maintained by
Douglas G. Bonett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-21
Latest Update: 2024-07-04
Description:
Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see:Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.
How to cite:
Douglas G. Bonett (2021). vcmeta: Varying Coefficient Meta-Analysis. R package version 1.5.0, https://cran.r-project.org/web/packages/vcmeta. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:58), 1.0.0 (2021-08-21 11:40), 1.1.0 (2022-06-17 09:00), 1.2.0 (2023-06-29 14:40), 1.3.0 (2024-03-04 17:50), 1.4.0 (2024-07-04 17:20), 1.5.0 (2025-08-26 06:20)
Other packages that cited vcmeta R package
View vcmeta citation profile
Other R packages that vcmeta depends, imports, suggests or enhances
Complete documentation for vcmeta
Functions, R codes and Examples using the vcmeta R package
Some associated functions: ci.fisher . cor.from.t . meta.ave.agree . meta.ave.cor . meta.ave.cronbach . meta.ave.gen.cc . meta.ave.gen . meta.ave.gen.rc . meta.ave.mean.ps . meta.ave.mean2 . meta.ave.meanratio.ps . meta.ave.meanratio2 . meta.ave.odds . meta.ave.path . meta.ave.pbcor . meta.ave.plot . meta.ave.prop.ps . meta.ave.prop2 . meta.ave.propratio2 . meta.ave.semipart . meta.ave.slope . meta.ave.spear . meta.ave.stdmean.ps . meta.ave.stdmean2 . meta.ave.var . meta.chitest . meta.lc.agree . meta.lc.gen . meta.lc.mean.ps . meta.lc.mean1 . meta.lc.mean2 . meta.lc.meanratio.ps . meta.lc.meanratio2 . meta.lc.odds . meta.lc.prop.ps . meta.lc.prop1 . meta.lc.prop2 . meta.lc.propratio2 . meta.lc.stdmean.ps . meta.lc.stdmean2 . meta.lm.agree . meta.lm.cor.gen . meta.lm.cor . meta.lm.cronbach . meta.lm.gen . meta.lm.mean.ps . meta.lm.mean1 . meta.lm.mean2 . meta.lm.meanratio.ps . meta.lm.meanratio2 . meta.lm.odds . meta.lm.prop.ps . meta.lm.prop1 . meta.lm.prop2 . meta.lm.propratio2 . meta.lm.semipart . meta.lm.spear . meta.lm.stdmean.ps . meta.lm.stdmean2 . meta.sub.cor . meta.sub.cronbach . meta.sub.pbcor . meta.sub.semipart . meta.sub.spear . replicate.cor . replicate.gen . replicate.mean.ps . replicate.mean1 . replicate.mean2 . replicate.oddsratio . replicate.plot . replicate.prop1 . replicate.prop2 . replicate.slope . replicate.spear . replicate.stdmean.ps . replicate.stdmean2 . se.ave.cor.nonover . se.ave.cor.over . se.ave.mean2.dep . se.biphi . se.cor . se.mean.ps . se.mean2 . se.meanratio.ps . se.meanratio2 . se.odds . se.pbcor . se.prop.ps . se.prop2 . se.semipartial . se.slope . se.spear . se.stdmean.ps . se.stdmean2 . se.tetra . stdmean2.from.t . 
Some associated R codes: meta_ave.R . meta_comp.R . meta_misc.R . meta_model.R . meta_plots.R . meta_rep.R . meta_se.R .  Full vcmeta package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA