The data consist of evaluations completed by individuals at different events and the evaluation has been designed to assess 5 Factors/constructs. The Factors/constructs are comprised of 2-5 of 14 total questions in the evaluation.
I have tried to specify the model with nonlinear syntax as follows:
fmla <- bf( Response ~ disc * eta, nl = TRUE, disc ~ (1|i|Question), eta ~ (1|i|Question) + (0 + Factor|p|Event_ID:ID), family = cumulative())
But, when I run
get_prior I receive an error
Error: The following variables are missing in 'data': 'disc'
disc isn’t in the data, it should be an estimated parameter, so I’m not sure how to correct my syntax.
If I change the case to
Disc I can get possible priors, but I also get two parameters one for
disc and one for
Disc - along with really low ESS on the
Can anyone suggest where I’m going wrong in the specification?