I am using the ’emmeans’ package in R to compute estimated marginal means for my (liner mixed-effects) model. However, I am enountering a warning message related to the number of observations exceeding 3000. Here is the specific code and the warning message I am receiving:

emmeans_results <- emmeans(lmer_model, ~ intervention + group)

The Warning Message is:

Note: D.f. calculations have been disabled because the number of observations exceeds 3000.
To enable adjustments, add the argument ‘pbkrtest.limit = 161345’ (or larger)
[or, globally, ‘set emm_options(pbkrtest.limit = 161345)’ or larger];
but be warned that this may result in large computation time and memory use.
Note: D.f. calculations have been disabled because the number of observations exceeds 3000.
To enable adjustments, add the argument ‘lmerTest.limit = 161345’ (or larger)
[or, globally, ‘set emm_options(lmerTest.limit = 161345)’ or larger];
but be warned that this may result in large computation time and memory use.

How can I handle this issue without running into significant computation time and memory use (setting lmerTest.limit = 161345 causes the R to crash on my computer). Is there a recommended approach for dealing with this in ’emmeans’?