Jacob

> But this is not possible for Gaussian processes / random effects, as there is not one loss per sample but only one "global" loss for all samples together. As...

Better tools for analyzing "first looks" (e.g., first saccade to AOI, starting from fixation).

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...

@brockf , @sforbes88 Is the idea here to fit a bayesian growth-curve then use the posterior to estimate divergence?

As you said we aren't able to maintain this codebase lately, but I think I can answer these more conceptual questions from memory. Here's my best attempt: > I am...

> the histogram is taking all the significant simulated cluster summed statistics + ONLY the individual time bins t statistic where the simulation returns a non significant t statistic, and...

Something like?: ``` data %>% group_by(Participant, Trial) %>% mutate(OverallAOI1 = mean(AOI1, na.rm=TRUE) %>% filter(OverallAOI1

I think the problem is just that in python the order of operations is different. If you wrapped your conditions with parentheses I believe it would work. E.g. this works:...

Also note that the package seems to have an `if_else` function built in. See https://github.com/kieferk/dfply/blob/master/dfply/vector.py. Although it seems to use a list-comprehension instead of np.where, so could potentially be slower...

Hey @MonicaBarbir , Can you provide the code for a [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa)? Thanks!