print.robust.rma

an object of class <code>"robust.rma"</code>.

integer specifying the number of decimal places to which the printed results should be rounded (if unspecified, the default is to take the value from the object).

digits

logical indicating whether p-values should be encoded visually with &#145;significance stars&#146;. Defaults to the <code>show.signif.stars</code> slot of <code><a rd-options="" href="/link/options?package=metafor&version=1.9-8" data-mini-rdoc="metafor::options">options</a></code>.

signif.stars

logical indicating whether the legend for the &#145;significance stars&#146; should be printed. Defaults to the value for <code>signif.stars</code>.

signif.legend


   Print method for objects of class <code>"robust.rma"</code>.


print

A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.

print.robust.rma: Print Method for 'robust.rma' Objects

Description

Usage

Arguments

Value

Details

References

See Also