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Following the example in the binomial GLMM vignette:
e1_mixed1_v2 <- mixed(
acc ~ congruency*condition + (congruency*condition|pno),
data = stroop_e1_agg,
method = "PB",
family = binomial,
weight = n
)
I get the error:
Error in `glmer()`:
! unused argument (REML = FALSE)
1. └─afex::mixed(...)
2. ├─base::do.call(...) at afex/R/mixed.R:1011:11
3. ├─pbkrtest (local) `<fn>`(largeModel = `<glmerMod>`, smallModel = `<glmerMod>`)
4. └─pbkrtest:::PBmodcomp.merMod(largeModel = `<glmerMod>`, smallModel = `<glmerMod>`)
5. ├─pbkrtest::PBrefdist(...)
6. └─pbkrtest:::PBrefdist.merMod(...)
7. └─pbkrtest:::do_sampling(largeModel, smallModel, nsim, cl, details)
8. ├─base::unlist(...)
9. └─parallel::mclapply(...)
10. └─base::lapply(X, FUN, ...)
11. └─pbkrtest (local) FUN(X[[i]], ...)
12. └─pbkrtest (local) get_fun(largeModel, smallModel, nsim = nsim.cl)
13. ├─base::unname(...)
14. ├─base::unlist(...)
15. └─base::lapply(...)
16. └─pbkrtest (local) FUN(X[[i]], ...)
17. ├─base::suppressMessages(refit_safe(sm, yyy, ctrl))
18. │ └─base::withCallingHandlers(...)
19. └─pbkrtest (local) refit_safe(sm, yyy, ctrl)
I saw the same error in my own usage of mixed with a Poisson family glmm, which led me to investigate further.
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