Computes a summary estimate and confidence interval from a collection of treatment effect estimates and standard errors. Allows fixed or random effects, optional quality weights.
Plot confidence intervals with boxes indicating the sample size/precision and optionally a diamond indicating a summary confidence interval. This function is usually called by plot methods for meta-analysis objects.
Computes the individual odds ratio or relative risk, the Mantel-Haenszel summary, and Woolf's test for heterogeneity. The print method gives the summary and test for heterogeneity; the summary method also gives all the individual odds ratios and confidence intervals.
meta.DSL
(Package: rmeta) :
Random effects (DerSimonian-Laird) meta-analysis
Computes the individual odds ratios or relative risks, the summary, the random effects variance, and Woolf's test for heterogeneity. The print method gives the summary and test for heterogeneity; the summary method also gives all the individual odds ratios and confidence intervals. Studies with zero or infinite odds ratio are omitted, as their variance cannot be calculated sensibly.
funnelplot
(Package: rmeta) :
Funnel plot for publication bias
Plots the treatment difference for trials against the size of the trial (or other specified variable). Asymmetry in the plot often indicates publication bias. Generic, with methods for meta-analysis objects.
cummeta
(Package: rmeta) :
Cumulative meta-analysis of binary data
A cumulative meta-analysis plot shows how evidence has accumulated over time. The ith line in the cumulative meta-analysis plot is the summary produced by a meta-analysis of the first i trials.
providing 
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