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For a binomial outcome we can compare execution time tolme4::glmer
. These are the current results on an example problem.
microbenchmark::microbenchmark(mnre_mod = mnre_fit(y ~ 1 + (1|fct01) + (1|fct02), data=ev$fr, verbose=0), glmer_mod <- glmer(ev$frm, data=ev$fr, family='binomial', nAGQ=0), times = 5)Unit: milliseconds expr min lq mnre_mod 9442.0576 9480.7341 glmer_mod <- glmer(ev$frm, data = ev$fr, family = "binomial", nAGQ = 0) 893.5765 904.6866 mean median uq max neval 9532.4786 9505.4875 9606.3683 9627.746 5 981.5733 921.1398 959.1317 1229.332 5
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