Open lawsofthought opened 7 years ago
I was planning on talking about multilevel logistic regression in the ordinal section, but it makes sense to cover it in Case Study. I believe the ordinal package in R allows multiple random effects and it definitely uses the same commands (ie, (1|random) ) as lme4. We can then discuss binary outcomes with a multilevel then too.
At the moment, Case Study 1 is about linear multilevel models. Should we make it about more general multilevel models generally, particularly including multilevel logistic regression. I have Jags code implementing a crossed and nested logistic regression applied to recognition memory using my own data, see the
memory.exp
code and data here.