Closed paul-buerkner closed 10 months ago
It would be great to have a vignette for response time models! Thank you for all of your progress.
Seconded. Mixed models for RT data are increasingly commonplace (Balota & Yap, 2011; Lo & Andrews, 2015), but I'm still encountering many researcher degrees of freedom in constructing them in brms. Mixed within-between designs (e.g,. block*condition) cover a large range of paradigms and user cases, such as stroop, IAT, flanker, task switching, etc.
I agree that a vignette discussing RT models is needed. I wonder though, how such a vignette would lead to a reduction in researchers degrees of freedom? After all, I think it should be about reasonable options and serve as a starting point, which may even increase the researchers degrees of freedom.
Henrik Singmann has written a blog post about the Wiener Diffusion model (http://singmann.org/wiener-model-analysis-with-brms-part-i/), which might be helpful to many using brms for the analysis of response times.
It would be great to have something related to multilevel mixture models in the "Advanced Bayesian Multilevel Modeling with the R Package brms" vignette. I don't know if it's possible to estimate such models with brms (see Vermunt 2003. "Multilevel Latent Class Models". Sociological Methodology, 33(1), 213–239.)
Not in that vignette as it corresponds to an article published in the R journal but of course having a vignette about mixture models would be desireble. If these exact models are possible in brms is another story I have to dig into once I have the time.
brms is already quite large in term of MB pre-compliation which makes CRAN a bit unhappy. More vignettes will just make it even larger. Given the amount of blog posts and tutorials about brms on the internet, I think it is okay to not add more vignettes to brms itself for the time being. Closing this issue now.
With the implementation of several new features in the upcoming brms 1.3.0 release, some more vignettes are required to explain certain aspects of the package in detail.