Brenton M. Wiernik

> Providing a unifying syntax for extracting, interpreting and understanding their models could be quite appreciated. Although this will probably wait for the help of a future contributor, expert in...

Yes, it's exactly what Daniel says. We should move these to methods for the specific check functions and also use visualization_recipe().

Related. https://github.com/easystats/parameters/issues/479

I would love to have dominance functions in performance! Wrappers for your package would be great

Sure this thread is a good spot

Sure, why don't you open a pull request and I can look at it and comment ?

@strengejacke I'm not sure why var.random isn't returned here and the var.dispersion looks wrong: ```r data(cbpp, package="lme4") library(glmmTMB) m

See also: - Cho, H. (2009). Bayesian influence diagnostic methods for parametric regression models [Doctoral dissertation, University of North Carolina at Chapel Hill]. https://doi.org/10.17615/9sde-5372 - https://stackoverflow.com/questions/39578834/linear-model-diagnostics-for-bayesian-models-using-rstan

Olkin, Alf, and Graf have each variously developed CIs of various flavors for R2 differences.

Haha. Tell your students that it's honestly not a clear problem to solve when you aren't incorporating the incremental validity into your model (ala some specific SEM models) or via...