Reference

Effect size calculation
NNT()	Calculate the number needed to treat (NNT)
se.from.p()	Calculate the standard error from the effect size and p-value
pool.groups()	Pool the results of two treatment arms
Small-study effects & Publication bias
eggers.test()	Perform Egger's test of the intercept
find.outliers()	Find Statistical Outliers in a Meta-Analysis
InfluenceAnalysis()	Influence Diagnostics
gosh.diagnostics()	Identify studies contributing to heterogeneity patterns found in GOSH plots
pcurve()	Perform a p-curve analysis
Power analysis
power.analysis()	A priori power calculator
power.analysis.subgroup()	A priori power calculator for subgroup contrasts
Meta-regression & Subgroups
multimodel.inference()	Perform multimodel inference with a meta-regression model
subgroup.analysis.mixed.effects()	Subgroup analysis using a mixed-effects model
Multilevel Meta-Analysis
mlm.variance.distribution()	Calculate \(I\)-squared and the variance distribution for multilevel meta-analysis models
Network Meta-Analysis
direct.evidence.plot()	Plot for direct evidence proportions in a network meta-analysis using netmeta
sucra()	Calculate the Surface Under the Cumulative Ranking score of from a network meta-analysis
Risk of bias
rob.summary()	Create a RevMan-style risk of bias summary chart
Data sets
ThirdWave	'Third-Wave' cognitive behavioral interventions for perceived stress in college students dataset
MVRegressionData	Toy Dataset for Multivariate Meta-Regression
NetDataGemtc	Toy Dataset for Network Meta-Analyses using the gemtc package
NetDataNetmeta	Toy Dataset for Network Meta-Analysis using the netmeta package
m.gosh	GOSH plot dataset
Package
dmetar	dmetar: Companion R package for the guide 'Doing Meta-Analysis in R'