findCluster.rma.mv
returns a vector of ID variables for the highest level of clustering in a fitted rma.mv
model.
Examples
if (requireNamespace("metafor", quietly = TRUE)) {
library(metafor)
data(dat.assink2016, package = "metadat")
mfor_fit <- rma.mv(yi ~ year + deltype,
V = vi, random = ~ 1 | study / esid,
data = dat.assink2016)
findCluster.rma.mv(mfor_fit)
}
#> Loading required package: Matrix
#> Loading required package: metadat
#> Loading required package: numDeriv
#>
#> Loading the 'metafor' package (version 4.6-0). For an
#> introduction to the package please type: help(metafor)
#> [1] 1 1 1 1 1 1 2 2 2 3 3 3 3 3 3 3 3 3 3 4 5 6 6 6 6
#> [26] 6 7 7 7 7 7 7 8 9 9 10 10 10 10 10 11 11 11 11 11 11 11 11 11 11
#> [51] 11 11 11 11 11 11 11 11 11 11 11 11 12 12 12 12 12 13 13 14 14 14 14 14 14
#> [76] 15 15 15 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 17 17 17 17 17 17
#> Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17