Linear mixed models with complex nesting and "Analysis of Effects"
Hi there,
i am trying to build a linear mixed model for my data which involves a complex nesting depicted in the following R code. I now that JASP cannot handle more then one random factor (correct?) so i switched to lmer() in R:
lmer(drThrOn ~ environment + (1 |run/lap/Turn), data = data_DVA, REML = FALSE)
The downside is, that i would prefer a bayesian lmm and would like to use the Analysis of Effects table provided by JASP but i dont know how this is comuputed. I only know that is involves some type of model comparison.
Is there a way to include multiple random factors in R or does anyone know how the Analysis of Effects table in JASP is computed?
Thanks so much for your help!
Comments
Have you checked the help file?
Also, there is this paper:
van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020).
A tutorial on conducting and interpreting a Bayesian ANOVA in JASP. L'Année Psychologique/Topics in Cognitive Psychology, 120, 73-96.
Also, JASP should be able to handle more than one random factor I believe...