I just ran my first ordinal regression model with brm_multiple. The predictor variable is year, an ordinal variable whose possible values are 2007,2009,2011,2013,2015, 2017 and 2019. 2007 is the reference year, so I expected to find the parameter names to include 6 intercepts, labeled  through , then 6 change parameters named 2009,2011,2013, 2015, 2017, 2019.
Instead, the change parameters are named:
Can anyone explain this?
I’m assuming these are the parameters I expected, in the proper order, just with different names. But I have no idea where the names came from or what they refer to. There’s no L,Q,C or E in my data.
original call was:
The datasets, imputed in mice, are in yrbs_complex_mdimp.
tvt_asd, the outcome variable, is a 7-level ordinal variable (multiple choice response on a survey for number of hours spent watching TV on an average school day)
The prior referred to is:
prior_screen<-prior(normal(0,5), class=“b”) + prior (normal(0,5), class=“Intercept”)