Hi,

I am struggling a bit with creating a forest plot containing the predicted effect size. As seen in other studies these effect sizes are shown per study usually as a light grey diamond - which is what I want to achieve.

The calls I use are:
iat_result = rma(yi=Mean, vi=Variance_rounded, ni=N, sei=Std_error, slab=Study_Name, subset=(Country == "AUT"), data=cma_iat, method="HS")

summary.rma(iat_result)


#not sure how to use it or if needed
#predict(iat_result)

forest(iat_result)


At the end I am getting the forest plot as is without the predicted values. 

I am not sure if I need the predict function and how to use it? - the predict function deliveres the same values as already computed in the rma object.


I checked the manual for package metafor but was not able to find out how to print the predicted values per study.


kind regards, Alma
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