How to integrate the effect size when inference = "bootstrap",multimp=TRUE is specified in the cmest function

[Apprentice2]

I am conducting a mediation analysis on data where y is binary, mediator is continuous, and exposure is binary.

Because of missing data, I specify estimation = "imputation", inference = "bootstrap", nboot = 1000, multimp=TRUE, and m=100 in the cmest function. In this case, 100 effect sizes obtained by multiple imputation will be integrated by Rubin's rule? Or are they integrated by some other algorithm? I would be grateful if you could enlighten me.