simulate.rma

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

object

number of response vectors to simulate (defaults to 1).

nsim

an object specifying if and how the random number generator should be initialized (&#8216;seeded&#8217;). Either <code>NULL</code> or an integer that will be used in a call to <code>set.seed</code> before simulating the response vectors. If set, the value is saved as the <code>"seed"</code> attribute of the returned value. The default, <code>NULL</code> will not change the random generator state, and return <code><a rd-options="" href="/link/.Random.seed?package=metafor&version=2.4-0" data-mini-rdoc="metafor::.Random.seed">.Random.seed</a></code> as the <code>"seed"</code> attribute; see &#8216;Value&#8217;.

seed

&#8230;

The function simulates observed outcomes based on <code>"rma"</code> model object.

datagen

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, GOSH 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.

Wolfgang Viechtbauer

metafor

Meta-Analysis Package for R

simulate.rma function

an object specifying if and how the random number generator should be initialized (&#8216;seeded&#8217;). Either <code>NULL</code> or an integer that will be used in a call to <code>set.seed</code> before simulating the response vectors. If set, the value is saved as the <code>"seed"</code> attribute of the returned value. The default, <code>NULL</code> will not change the random generator state, and return <code><a rd-options='' href='.Random.seed'>.Random.seed</a></code> as the <code>"seed"</code> attribute; see &#8216;Value&#8217;.

simulate.rma: Simulate Method for 'rma' Objects

Description

Usage

Arguments

Value

Details

References

See Also

Examples