Man pages for dgbonett/vcmeta
Varying Coefficient Meta-Analysis

cor.from.tComputes Pearson correlation between paired measurements from...
meta.ave.agreeConfidence interval for an average G-index agreement...
meta.ave.corConfidence interval for an average Pearson or partial...
meta.ave.cor.genConfidence interval for an average correlation of any type
meta.ave.cronbachConfidence interval for an average Cronbach alpha reliability
meta.ave.fisherFisher confidence interval for an average correlation.
meta.ave.genConfidence interval for an average of any parameter
meta.ave.gen.ccConfidence interval for an average effect size using a...
meta.ave.gen.rcConfidence interval for an average effect size using a random...
meta.ave.mean2Confidence interval for an average mean difference from...
meta.ave.mean.psConfidence interval for an average mean difference from...
meta.ave.meanratio2Confidence interval for an average mean ratio from 2-group...
meta.ave.meanratio.psConfidence interval for an average mean ratio from...
meta.ave.oddsConfidence interval for average odds ratio from 2-group...
meta.ave.pathConfidence interval for an average slope coefficient in a...
meta.ave.pbcorConfidence interval for an average point-biserial correlation
meta.ave.plotForest plot for average effect sizes
meta.ave.prop2Confidence interval for an average proportion difference in...
meta.ave.prop.psConfidence interval for an average proportion difference in...
meta.ave.propratio2Confidence interval for an average proportion ratio from...
meta.ave.semipartConfidence interval for an average semipartial correlation
meta.ave.slopeConfidence interval for an average slope coefficient
meta.ave.spearConfidence interval for an average Spearman correlation
meta.ave.stdmean2Confidence interval for an average standardized mean...
meta.ave.stdmean.psConfidence interval for an average standardized mean...
meta.ave.varConfidence interval for an average variance
meta.chitestComputes a chi-square test of effect-size homogeneity
meta.lc.agreeConfidence interval for a linear contrast of G-index...
meta.lc.genConfidence interval for a linear contrast of effect sizes
meta.lc.mean1Confidence interval for a linear contrast of means
meta.lc.mean2Confidence interval for a linear contrast of mean differences...
meta.lc.mean.psConfidence interval for a linear contrast of mean differences...
meta.lc.meanratio2Confidence interval for a log-linear contrast of mean ratios...
meta.lc.meanratio.psConfidence interval for a log-linear contrast of mean ratios...
meta.lc.oddsConfidence interval for a log-linear contrast of odds ratios
meta.lc.prop1Confidence interval for a linear contrast of proportions
meta.lc.prop2Confidence interval for a linear contrast of proportion...
meta.lc.prop.psConfidence interval for a linear contrast of proportion...
meta.lc.propratio2Confidence interval for a log-linear contrast of proportion...
meta.lc.stdmean2Confidence interval for a linear contrast of standardized...
meta.lc.stdmean.psConfidence interval for a linear contrast of standardized...
meta.lm.agreeMeta-regression analysis for G agreement indices
meta.lm.corMeta-regression analysis for Pearson or partial correlations
meta.lm.cor.genMeta-regression analysis for correlations
meta.lm.cronbachMeta-regression analysis for Cronbach reliabilities
meta.lm.genMeta-regression analysis for any type of effect size
meta.lm.mean1Meta-regression analysis for 1-group means
meta.lm.mean2Meta-regression analysis for 2-group mean differences
meta.lm.mean.psMeta-regression analysis for paired-samples mean differences
meta.lm.meanratio2Meta-regression analysis for 2-group log mean ratios
meta.lm.meanratio.psMeta-regression analysis for paired-samples log mean ratios
meta.lm.oddsMeta-regression analysis for odds ratios
meta.lm.prop1Meta-regression analysis for 1-group proportions
meta.lm.prop2Meta-regression analysis for 2-group proportion differences
meta.lm.prop.psMeta-regression analysis for paired-samples proportion...
meta.lm.propratio2Meta-regression analysis for proportion ratios
meta.lm.semipartMeta-regression analysis for semipartial correlations
meta.lm.spearMeta-regression analysis for Spearman correlations
meta.lm.stdmean2Meta-regression analysis for 2-group standardized mean...
meta.lm.stdmean.psMeta-regression analysis for paired-samples standardized mean...
meta.sub.corConfidence interval for a subgroup difference in average...
meta.sub.cronbachConfidence interval for a subgroup difference in average...
meta.sub.genConfidence interval for a subgroup difference in average...
meta.sub.pbcorConfidence interval for a subgroup difference in average...
meta.sub.semipartConfidence interval for a subgroup difference in average...
meta.sub.spearConfidence interval for a subgroup difference in average...
replicate.corCompares and combines Pearson or partial correlations in...
replicate.cor.genCompares and combines any type of correlation in original and...
replicate.genCompares and combines effect sizes in original and follow-up...
replicate.mean1Compares and combines single mean in original and follow-up...
replicate.mean2Compares and combines 2-group mean differences in original...
replicate.mean.psCompares and combines paired-samples mean differences in...
replicate.oddsratioCompares and combines odds ratios in original and follow-up...
replicate.plotPlot to compare estimates from original and follow-up studies
replicate.prop1Compares and combines single proportion in original and...
replicate.prop2Compares and combines 2-group proportion differences in...
replicate.prop.psCompares and combines paired-samples proportion differences...
replicate.ratio.prop2Compares and combines 2-group proportion ratios in original...
replicate.slopeCompares and combines slope coefficients in original and...
replicate.spearCompares and combines Spearman correlations in original and...
replicate.stdmean2Compares and combines 2-group standardized mean differences...
replicate.stdmean.psCompares and combines paired-samples standardized mean...
se.ave.cor.nonoverComputes the standard error for the average of two Pearson...
se.ave.cor.overComputes the standard error for the average of two Pearson...
se.ave.mean2.depComputes the standard error for the average of 2-group mean...
se.biphiComputes the standard error for a biserial-phi correlation
se.bscorComputes the standard error for a biserial correlation
se.cohenComputes the standard error for Cohen's d
se.corComputes the standard error for a Pearson or partial...
se.mean2Computes the standard error for a 2-group mean difference
se.mean.psComputes the standard error for a paired-samples mean...
se.meanratio2Computes the standard error for a 2-group log mean ratio
se.meanratio.psComputes the standard error for a paired-samples log mean...
se.oddsComputes the standard error for a log odds ratio
se.pbcorComputes the standard error for a point-biserial correlation
se.prop2Computes the estimate and standard error for a 2-group...
se.prop.psComputes the estimate and standard error for a paired-samples...
se.semipartialComputes the standard error for a semipartial correlation
se.slopeComputes a slope and standard error
se.spearComputes the standard error for a Spearman correlation
se.stdmean2Computes the standard error for a 2-group standardized mean...
se.stdmean.psComputes the standard error for a paired-samples standardized...
se.tetraComputes the standard error for a tetrachoric correlation...
stdmean2.from.tComputes Cohen's d from pooled-variance t statistic
table.from.oddsComputes the cell frequencies in a 2x2 table using the...
table.from.phiComputes the cell frequencies in a 2x2 table using the...
dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.