Simulate Method for 'rma' Objects
The function simulates observed outcomes based on "rma" model object.
## S3 method for class 'rma' simulate(object, nsim = 1, seed = NULL, ...)
object |
an object of class |
nsim |
number of response vectors to simulate (defaults to 1). |
seed |
an object specifying if and how the random number generator should be initialized (‘seeded’). Either |
... |
other arguments. |
A data frame with nsim columns with the simulated outcomes.
The data frame comes with an attribute "seed". If argument seed is NULL, the attribute is the value of .Random.seed before the simulation was started; otherwise it is the value of the argument with a "kind" attribute with value as.list(RNGkind()).
Wolfgang Viechtbauer wvb@metafor-project.org http://www.metafor-project.org/
Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. https://www.jstatsoft.org/v036/i03.
### copy BCG vaccine data into 'dat' dat <- dat.bcg ### calculate log risk ratios and corresponding sampling variances dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat) dat ### random-effects model res <- rma(yi, vi, data=dat) res ### simulate 10 sets of new outcomes based on the fitted model newdat <- simulate(res, nsim=10, seed=1234) newdat
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