R: Varying Coefficient Meta-Analysis

# Varying Coefficient Meta-Analysis

## Documentation for package ‘vcmeta’ version 1.6.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

C M R S T

## -- C --

cor.from.t | Computes a Pearson correlation between paired measurements from a paired-samples t statistic

## -- M --

meta.ave.agree | Confidence interval for an average G-index agreement coefficient
meta.ave.cor | Confidence interval for an average Pearson or partial correlation
meta.ave.cor.gen | Confidence interval for an average correlation of any type
meta.ave.cronbach | Confidence interval for an average Cronbach alpha reliability
meta.ave.gen | Confidence interval for an average of any parameter
meta.ave.gen.cc | Confidence interval for an average effect size using a constant coefficient model
meta.ave.gen.log | Exponentiated confidence interval for an average of log-transformed parameters
meta.ave.gen.rc | Confidence interval for an average effect size using a random coefficient model
meta.ave.mean.ps | Confidence interval for an average mean difference from paired-samples studies
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.meanratio2 | Confidence interval for an average mean ratio from 2-group studies
meta.ave.oddsratio | Confidence interval for average odds ratio from 2-group studies
meta.ave.path | Confidence interval for an average slope coefficient in a general linear model or a path model.
meta.ave.pbcor | Confidence interval for an average point-biserial correlation
meta.ave.plot | Forest plot for average effect sizes
meta.ave.prop.ps | Confidence interval for an average proportion difference in paired-samples studies
meta.ave.prop2 | Confidence interval for an average proportion difference in 2-group studies
meta.ave.propratio2 | Confidence interval for an average proportion ratio from 2-group studies
meta.ave.semipart | Confidence interval for an average semipartial correlation
meta.ave.slope | Confidence interval for an average slope coefficient
meta.ave.spear | Confidence interval for an average Spearman correlation
meta.ave.stdmean.ps | Confidence interval for an average standardized mean difference from paired-samples studies
meta.ave.stdmean2 | Confidence interval for an average standardized mean difference from 2-group studies
meta.ave.var | Confidence interval for an average variance
meta.chitest | Computes a chi-square test of effect-size homogeneity
meta.lc.agree | Confidence interval for a linear contrast of G-index coefficients
meta.lc.gen | Confidence interval for a linear contrast of effect sizes
meta.lc.mean.ps | Confidence interval for a linear contrast of mean differences from paired-samples studies
meta.lc.mean1 | Confidence interval for a linear contrast of means
meta.lc.mean2 | Confidence interval for a linear contrast of mean differences from 2-group studies
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.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.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.propratio2 | Confidence interval for a log-linear contrast of proportion 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.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.cor | Meta-regression analysis for Pearson or partial correlations
meta.lm.cor.gen | Meta-regression analysis for correlations
meta.lm.cronbach | Meta-regression analysis for Cronbach reliabilities
meta.lm.gen | Meta-regression analysis for any type of effect size
meta.lm.mean.ps | Meta-regression analysis for paired-samples mean differences
meta.lm.mean1 | Meta-regression analysis for 1-group 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.lm.meanratio2 | Meta-regression analysis for 2-group log mean ratios
meta.lm.oddsratio | Meta-regression analysis for odds ratios
meta.lm.prop.ps | Meta-regression analysis for paired-samples proportion differences
meta.lm.prop1 | Meta-regression analysis for 1-group proportions
meta.lm.prop2 | Meta-regression analysis for 2-group proportion differences
meta.lm.propratio2 | Meta-regression analysis for 2-group proportion ratios
meta.lm.semipart | Meta-regression analysis for semipartial correlations
meta.lm.spear | Meta-regression analysis for Spearman correlations
meta.lm.stdmean.ps | Meta-regression analysis for paired-samples standardized mean differences
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
meta.sub.cronbach | Confidence interval for a subgroup difference in average Cronbach reliabilities
meta.sub.gen | Confidence interval for a subgroup difference in average effect size
meta.sub.pbcor | Confidence interval for a subgroup difference in average point-biserial correlations
meta.sub.semipart | Confidence interval for a subgroup difference in average semipartial correlations
meta.sub.spear | Confidence interval for a subgroup difference in average Spearman correlations

## -- R --

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.cor.gen | Compares and combines any type of correlation in original and follow-up studies
replicate.cronbach | Compares and combines Cronbach reliablity in original and follow-up studies
replicate.gen | Compares and combines effect sizes in original and follow-up studies
replicate.mean.ps | Compares and combines paired-samples mean differences in original and follow-up studies
replicate.mean1 | Compares and combines single mean in original and follow-up studies
replicate.mean2 | Compares and combines 2-group mean differences in original and follow-up studies
replicate.meanratio.ps | Compares and combines paired-samples mean ratios in original and follow-up studies
replicate.meanratio2 | Compares and combines 2-group mean ratios in original and follow-up studies
replicate.oddsratio | Compares and combines odds ratios in original and follow-up studies
replicate.pbcor | Compares and combines point-biserial correlations in original and follow-up studies
replicate.plot | Plot to compare estimates from original and follow-up studies
replicate.prop.ps | Compares and combines paired-samples proportion differences in original and follow-up studies
replicate.prop1 | Compares and combines single proportions in original and follow-up studies
replicate.prop2 | Compares and combines 2-group proportion differences in original and follow-up studies
replicate.propratio2 | Compares and combines 2-group proportion ratios in original and follow-up studies
replicate.slope | Compares and combines slope coefficients in original and follow-up studies
replicate.spear | Compares and combines Spearman correlations in original and follow-up studies
replicate.stdmean.ps | Compares and combines paired-samples standardized mean differences in original and follow-up studies
replicate.stdmean2 | Compares and combines 2-group standardized mean differences in original and follow-up studies

## -- S --

se.agree | Computes the estimate and standard error for a G-index of agreement
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
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
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.biphi | Computes the standard error for a biserial-phi correlation
se.bscor | Computes the standard error for a biserial correlation
se.cohen | Computes the standard error for Cohen's d
se.cor | Computes the standard error for a Pearson or partial correlation
se.mean.ps | Computes the standard error for a paired-samples mean difference
se.mean2 | Computes the standard error for a 2-group mean difference
se.meanratio.ps | Computes the standard error for a paired-samples log mean ratio
se.meanratio2 | Computes the standard error for a 2-group log mean ratio
se.median | Computes the standard error for a median
se.oddsratio | Computes the standard error for a log odds ratio
se.pbcor | Computes the standard error for a point-biserial correlation
se.prop.ps | Computes the estimate and standard error for a paired-samples proportion difference
se.prop2 | Computes the estimate and standard error for a 2-group proportion difference
se.propratio.ps | Computes the estimate and standard error for a paired-samples log proportion ratio
se.propratio2 | Computes the estimate and standard error for a 2-group log proportion ratio
se.semipart | Computes the standard error for a semipartial correlation
se.slope | Computes a slope and its standard error
se.spear | Computes the standard error for a Spearman correlation
se.stdmean.ps | Computes the standard error for a paired-samples standardized mean difference
se.stdmean2 | Computes the standard error for a 2-group standardized mean difference
se.tetra | Computes the standard error for a tetrachoric correlation approximation
stdmean2.from.t | Computes Cohen's d from pooled-variance t statistic

## -- T --

table.from.odds | Computes the cell frequencies in a 2x2 table using the marginal proportions and odds ratio
table.from.phi | Computes the cell frequencies in a 2x2 table using the marginal proportions and phi correlation