[R-meta] Redundant predictors

L.S.,

As far as I understand, the fail-safe N analysis serves to estimate the 
number of cases with zero effect size that would have to be added to 
turn a significant effect size just not significant anymore. Is there 
also an opposite test, i.e. how many cases with significant effect (for 
example the case with the most extreme effect size in the dataset) that 
would have to be added to turn a non-significant effect size into a 
significant one?

Best wishes,
Arne Janssen