Sorry to post an issue for a question. My question is equivalent to this stackoverflow post. Is it possible to use GLMMadaptive with more than one random effect? For example, with lme4 I might fit a model like
d <- ltm::LSAT
d$respondent <- seq_len(nrow(d))
d <- tidyr::pivot_longer(
d,
-respondent,
names_to = "item",
values_to = "response"
)
m <- lme4::glmer(
response ~ 1 + (1 | respondent) + (1 | item),
data = d,
family = binomial(link = "logit")
)
Sorry to post an issue for a question. My question is equivalent to this stackoverflow post. Is it possible to use GLMMadaptive with more than one random effect? For example, with lme4 I might fit a model like
Is this model possible with GLMMadaptive?