jamovi

1. Jamovi will not produce estimates for the main effect predictor of time (ordinal variable) in a linear mixed model. Is there any way to get these estimates?
2. What type of bootstrapping does Jamovi conduct for Linear Mixed Models and how many iterations?

Can you provide an example of the model?

We had time (baseline, 3-months, 6-months, 12-months) as a factor, depression as a continuous predictor variable (covariate), and a continuous longitudinal dependent variable, with participant ID as a random intercept. We had time, depression, and interaction between time and depression as fixed effects.

Can you provide a ovm file with an example in which the main effect is missing?

As for the bootstrap, please find info here https://gamlj.github.io/boot_specs.html