Varying Coefficient Meta-Analysis

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Documentation for package ‘vcmeta’ version 1.3.0

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C M R S T

-- C --

cor.from.t Computes Pearson correlation between paired measurements from 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.cronbach Confidence interval for an average Cronbach alpha reliability
meta.ave.fisher Fisher confidence interval for an average correlation.
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.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.odds 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.odds 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.odds 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 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 difference in average Pearson or partial correlations for two sets of studies
meta.sub.cronbach Confidence interval for a difference in average Cronbach reliabilities for two sets of studies
meta.sub.gen Confidence interval for a difference in average effect size for two sets of studies
meta.sub.pbcor Confidence interval for a difference in average point-biserial correlations for two sets of studies
meta.sub.semipart Confidence interval for a difference in average semipartial correlations for two sets of studies
meta.sub.spear Confidence interval for a difference in average Spearman correlations for two sets of studies

-- R --

replicate.cor Compares and combines Pearson or partial correlations 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.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.prop.ps Compares and combines paired-samples proportion differences in original and follow-up studies
replicate.prop1 Compares and combines single proportion in original and follow-up studies
replicate.prop2 Compares and combines 2-group proportion differences in original and follow-up studies
replicate.ratio.prop2 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.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.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.odds 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.semipartial Computes the standard error for a semipartial correlation
se.slope Computes a slope and 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