Florian Hartig

OK, but that PR definitely does more than fix the problem, so for example I definitely don't want a sleep argument in the simulation function. From what I can see,...

underlay fit for the res ~ x function

Regarding 1: My thinking is that it is better to use DHARMa residuals because the change of the distribution with the mean in GLMM distribution such as the Poisson /...

Hi Lionel, I have indeed been playing around with adding a spatial variogram to the testSpatialAutocorrelation function, see also https://github.com/florianhartig/DHARMa/issues/311. Finally, I didn't include it in the last update because...

Just to add to that: if course, it's easy for people to just plot DHARMa residuals in whatever way they want - there are so many packages that provide plots...

Hi, yes, this is what I did - I'm not sure if this really has to be added to the function, maybe enough to just add code in the help...

OK, I have looked into this. The point for a DWPR regression is that residuals per data point don't make sense, because the weights are necessarily ignored in the simulations...

Hi Dimitris, thank you for this comprehensive example, this is interesting. For people (like me) that are less versed in medical stats terminology, here the definition of MAR in https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688419/...

Hi Dimitris, I guess I could implement something like this, but the question is how DHARMa should know when to apply this procedure. Moreover, there is the MAR case, but...

Added a comment about this in the vignette in 0.2.1, will add a bit more in 0.2.3. Will close this for now.