[R-sig-ME] Using broom.mixed library with lme4

[Simon Harmel]

Dear All,

Belwo, I've used library `broom.mixed` and imputed some data with library
`mice` to then fit a "random-intercept" `lmer()` model.

BUT I wonder why after I `pool()` my analyses, there is an extra "ubar"
(random-effect) for slope (`sex`) which is not even in the model?!

library(mice)
library(lme4)
library(broom.mixed)

imp <- mice(popmis, m = 5) # `popmis` is a dataset from `mice`

fit <- with(data = imp, exp = lme4::lmer(popular ~ sex + (1|school)))

pool(fit)

### `ubar` is the random effect for intercept (0.007524509) BUT WHY we see
a ubar ALSO for `sex` (0.001177781)?

Class: mipo    m = 5
         term m  estimate        ubar            b           t dfcom
 df
1 (Intercept) 5 4.9007789 0.007524509 0.0004845564 0.008105977  1996
547.44383
2         sex 5 0.8617941 0.001177781 0.0015867795 0.003081916  1996
 10.33653
        riv     lambda       fmi
1 0.0772765 0.07173321 0.0751060
2 1.6167147 0.61784141 0.6751515

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