How to generate forest plot for Cronbach's Alpha & ICC (metafor)?

I'm trying to create a forest plot in metafor for pooled reliability estimates (Cronbach's Alpha and ICC) for a systematic review we've done. I want to do the same as the authors have in the image I've pasted (which comes from here: https://doi.org/10.1177/1071100718816953). i.e.: we'd like to recreate these sorts of analyses using our data. I can't find a tutorial or example code for this despite exhausting the search engine here and google, nor can I figure out from the help which doesn't seem to touch on this (https://www.rdocumentation.org/packages/metafor/versions/1.9-9/topics/escalc or https://cran.r-project.org/web/packages/metafor/metafor.pdf). I've emailed the corresponding author who suggested we read: https://www.um.es/metaanalysis/pdf/5049.pdf, but this hasn't helped (nothing about R or the steps involved in creating the analyses/plots in there).

Can anyone point me in the direction of some help for the steps required to do this?

Here's the image:

Figure displaying Forest plot of pooled reliability measures

Edit: clarified we were trying to do our own analysis, not recreate someone else's, & added the corresponding author's reply

Solution

Here is an example for Cronbach's alpha, using the transformation by Bonett (2002) before analyzing the alpha values (not sure what the authors used).

library(metafor)
dat <- dat.bonett2010
res <- rma(measure="ABT", ai=ai, mi=mi, ni=ni, data=dat)
forest(res, slab=dat$source, header=TRUE, atransf=transf.iabt, refline=coef(res))

Adjust as needed. See help(forest.rma) (or here) for details on what can be adjusted.