jamovi

If you are interested, Jn plot will be in gamlj3 in next version

Yes, we are working on it

If you have repeated measure, you need a logistic mixed model, underground generalized mixed models

In gamlj you have the LR test for random slopes variances. We do not have bayesian lmm yet, but I do not expect results to be very different between maximum likelihood (what people would call frequentist) and average likelihood (what people call bayesian)

Could you point us to some literature backing the levene test up in mixed models?. I did not find much.

nope, the minimum sample size can be computed for an inferential test, not for a dispersion index

As regards the ICC2, it is simply given by the spearman-brown formula applied to ICC, so V_i /(V_i+V_e/k), where V_i is the variance of the intercepts, V_e is the residual variance, and k is the number of raters or cases within clusters. R_wg is not a model-based indices (it requires inventing a dis...

Hi
some modules, such as GAMLj3 and jAMM employ parallel processing. SEMLj does not yet, but we are testing a new version that does. However, parallel processing is used only for operations that can be easily parallelized, mainly bootstrap confidence intervals. Is that what you were looking for?

would you share the data so I can check?