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vcmeta: Varying Coefficient Meta-Analysis

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.

Installation

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

install.packages("vcmeta")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("dgbonett/vcmeta")

Feedback, issues, and contributions

Submit feedback, suggestions, and bugs to github here.

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Version

Install

install.packages('vcmeta')

Monthly Downloads

204

Version

1.5.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Douglas G. Bonett

Last Published

August 26th, 2025

Functions in vcmeta (1.5.0)

meta.ave.pbcor

Confidence interval for an average point-biserial correlation
meta.ave.mean2

Confidence interval for an average mean difference from 2-group studies
meta.ave.meanratio.ps

Confidence interval for an average mean ratio from paired-samples studies
meta.ave.prop2

Confidence interval for an average proportion difference in 2-group studies
meta.ave.plot

Forest plot for average effect sizes
meta.ave.path

Confidence interval for an average slope coefficient in a general linear model or a path model.
meta.ave.meanratio2

Confidence interval for an average mean ratio from 2-group studies
meta.ave.prop.ps

Confidence interval for an average proportion difference in paired-samples studies
meta.ave.propratio2

Confidence interval for an average proportion ratio from 2-group studies
meta.ave.oddsratio

Confidence interval for average odds ratio from 2-group studies
meta.chitest

Computes a chi-square test of effect-size homogeneity
meta.ave.var

Confidence interval for an average variance
meta.ave.stdmean2

Confidence interval for an average standardized mean difference from 2-group studies
meta.ave.slope

Confidence interval for an average slope coefficient
meta.ave.semipart

Confidence interval for an average semipartial correlation
meta.ave.stdmean.ps

Confidence interval for an average standardized mean difference from paired-samples studies
meta.ave.spear

Confidence interval for an average Spearman correlation
meta.lc.meanratio.ps

Confidence interval for a log-linear contrast of mean ratios from paired-samples studies
meta.lc.meanratio2

Confidence interval for a log-linear contrast of mean ratios from 2-group studies
meta.lc.stdmean.ps

Confidence interval for a linear contrast of standardized mean differences from paired-samples studies
meta.lc.propratio2

Confidence interval for a log-linear contrast of proportion ratios from 2-group studies
meta.lc.agree

Confidence interval for a linear contrast of G-index coefficients
meta.lc.prop1

Confidence interval for a linear contrast of proportions
meta.lc.prop2

Confidence interval for a linear contrast of proportion differences in 2-group studies
meta.lc.mean2

Confidence interval for a linear contrast of mean differences from 2-group studies
meta.lm.mean.ps

Meta-regression analysis for paired-samples mean differences
meta.lm.gen

Meta-regression analysis for any type of effect size
meta.lm.cronbach

Meta-regression analysis for Cronbach reliabilities
meta.lc.mean1

Confidence interval for a linear contrast of means
meta.lm.mean2

Meta-regression analysis for 2-group mean differences
meta.lm.meanratio.ps

Meta-regression analysis for paired-samples log mean ratios
meta.lc.stdmean2

Confidence interval for a linear contrast of standardized mean differences from 2-group studies
meta.lm.agree

Meta-regression analysis for G agreement indices
meta.lm.spear

Meta-regression analysis for Spearman correlations
meta.lm.meanratio2

Meta-regression analysis for 2-group log mean ratios
meta.lm.stdmean.ps

Meta-regression analysis for paired-samples standardized mean differences
meta.lm.mean1

Meta-regression analysis for 1-group means
meta.lm.prop1

Meta-regression analysis for 1-group proportions
meta.lm.prop.ps

Meta-regression analysis for paired-samples proportion differences
meta.lm.oddsratio

Meta-regression analysis for odds ratios
meta.lm.semipart

Meta-regression analysis for semipartial correlations
meta.lm.stdmean2

Meta-regression analysis for 2-group standardized mean differences
meta.sub.cor

Confidence interval for a subgroup difference in average Pearson or partial correlations
replicate.agree

Compares and combines G-index of agreement in original and follow-up studies
replicate.cor

Compares and combines Pearson or partial correlations in original and follow-up studies
replicate.cronbach

Compares and combines Cronbach reliablity in original and follow-up studies
replicate.cor.gen

Compares and combines any type of correlation in original and follow-up studies
replicate.gen

Compares and combines effect sizes in original and follow-up studies
meta.lc.mean.ps

Confidence interval for a linear contrast of mean differences from paired-samples studies
meta.sub.pbcor

Confidence interval for a subgroup difference in average point-biserial correlations
meta.lm.cor

Meta-regression analysis for Pearson or partial correlations
meta.lc.gen

Confidence interval for a linear contrast of effect sizes
meta.lc.oddsratio

Confidence interval for a log-linear contrast of odds ratios
meta.lc.prop.ps

Confidence interval for a linear contrast of proportion differences in paired-samples studies
meta.lm.cor.gen

Meta-regression analysis for correlations
meta.lm.propratio2

Meta-regression analysis for 2-group proportion ratios
meta.sub.semipart

Confidence interval for a subgroup difference in average semipartial correlations
meta.sub.gen

Confidence interval for a subgroup difference in average effect size
meta.lm.prop2

Meta-regression analysis for 2-group proportion differences
replicate.prop.ps

Compares and combines paired-samples proportion differences in original and follow-up studies
replicate.mean.ps

Compares and combines paired-samples mean differences in original and follow-up studies
se.agree

Computes the estimate and standard error for a G-index of agreement
replicate.prop1

Compares and combines single proportions in original and follow-up studies
se.biphi

Computes the standard error for a biserial-phi correlation
se.bscor

Computes the standard error for a biserial correlation
se.mean.ps

Computes the standard error for a paired-samples mean difference
meta.sub.spear

Confidence interval for a subgroup difference in average Spearman correlations
replicate.oddsratio

Compares and combines odds ratios in original and follow-up studies
replicate.plot

Plot to compare estimates from original and follow-up studies
replicate.propratio2

Compares and combines 2-group proportion ratios in original and follow-up studies
replicate.prop2

Compares and combines 2-group proportion differences in original and follow-up studies
meta.sub.cronbach

Confidence interval for a subgroup difference in average Cronbach reliabilities
replicate.slope

Compares and combines slope coefficients in original and follow-up studies
se.cohen

Computes the standard error for Cohen's d
se.cor

Computes the standard error for a Pearson or partial correlation
replicate.spear

Compares and combines Spearman correlations in original and follow-up studies
se.oddsratio

Computes the standard error for a log odds ratio
replicate.mean1

Compares and combines single mean in original and follow-up studies
se.prop.ps

Computes the estimate and standard error for a paired-samples proportion difference
replicate.stdmean.ps

Compares and combines paired-samples standardized mean differences in original and follow-up studies
replicate.mean2

Compares and combines 2-group mean differences in original and follow-up studies
se.prop2

Computes the estimate and standard error for a 2-group proportion difference
replicate.stdmean2

Compares and combines 2-group standardized mean differences in original and follow-up studies
se.ave.mean2.dep

Computes the standard error for the average of 2-group mean differences from two parallel measurement response variables in the same sample
se.ave.cor.over

Computes the standard error for the average of two Pearson correlations with one variable in common that have been estimated from the same sample
table.from.phi

Computes the cell frequencies in a 2x2 table using the marginal proportions and phi correlation
se.pbcor

Computes the standard error for a point-biserial correlation
se.propratio2

Computes the estimate and standard error for a 2-group log proportion ratio
se.propratio.ps

Computes the estimate and standard error for a paired-samples log proportion ratio
se.tetra

Computes the standard error for a tetrachoric correlation approximation
se.stdmean2

Computes the standard error for a 2-group standardized mean difference
se.mean2

Computes the standard error for a 2-group mean difference
se.meanratio2

Computes the standard error for a 2-group log mean ratio
se.semipart

Computes the standard error for a semipartial correlation
se.meanratio.ps

Computes the standard error for a paired-samples log mean ratio
se.slope

Computes a slope and standard error
se.ave.cor.nonover

Computes the standard error for the average of two Pearson correlations with no variables in common that have been estimated from the same sample
stdmean2.from.t

Computes Cohen's d from pooled-variance t statistic
se.spear

Computes the standard error for a Spearman correlation
se.stdmean.ps

Computes the standard error for a paired-samples standardized mean difference
table.from.odds

Computes the cell frequencies in a 2x2 table using the marginal proportions and odds ratio
meta.ave.agree

Confidence interval for an average G-index agreement coefficient
meta.ave.cronbach

Confidence interval for an average Cronbach alpha reliability
cor.from.t

Computes a Pearson correlation between paired measurements from a paired-samples t statistic
meta.ave.gen.rc

Confidence interval for an average effect size using a random coefficient model
meta.ave.gen.cc

Confidence interval for an average effect size using a constant coefficient model
meta.ave.mean.ps

Confidence interval for an average mean difference from paired-samples studies
meta.ave.gen.log

Exponentiated confidence interval for an average of log-transformed parameters
meta.ave.gen

Confidence interval for an average of any parameter
meta.ave.cor.gen

Confidence interval for an average correlation of any type
meta.ave.cor

Confidence interval for an average Pearson or partial correlation