eyetrackingR
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Future enhancements
To avoid cluttering up issues forum, will put brainstorming for all future enhancements here.
Better tools for analyzing "first looks" (e.g., first saccade to AOI, starting from fixation).
Add Bayesian time series analysis using brms() and growth curves.
Doesn't this break our workflow? We don't have any functions that internally use lmer, would we be adding a function with brms? Or did you just mean have a vignette with brms? @brockf
True: Let's just add a vignette with BRMS using time_sequence data. The only brms-specific benefit is that we can get interpretable times of divergence (based on some threshold of distribution overlap), but this can be discussed in a vignette.
I actually just came on here to suggest exactly this (doing this at the moment). Divergence estimates using Bayesian analysis would give a more accessible output, and using brms would mean there is no need to change the syntax from your previous vignettes.
@brockf , @sforbes88 Is the idea here to fit a bayesian growth-curve then use the posterior to estimate divergence?
Yeah, that's what I was thinking, because it's fairly easy to get prediction intervals from brms. Either way, great package guys.