Ed Merkle

Thanks for the report. I think this is a side-effect of using lavaan code and will look at it soon. Also, I think the assumption there is that the posteriors...

Yves has recently set "se" to FALSE when passing non-lavaan objects to parameterEstimates(). While the Bayesian results are not (yet) included here, this at least removes the issue of somewhat-confusing...

Lost track of this one, but two possibilities here (more for myself than anyone else): see the boot.ci.type argument of parameterEstimates() for alternative ways of handling SEs and intervals. Alternatively,...

Andreas, it is not currently possible in blavaan. If you wanted to export the blavaan Stan (or JAGS) code for a regular growth model, it might be feasible to modify...

Hi Zezhen, thanks for the questions. I think that these issues are mostly due to the fact that ordinal models are very new to blavaan. I will have to look...

Just some follow-ups, involving commit b0c191e from earlier today: - I have turned off `blavFitIndices()` for ordinal models because I think some underlying code is assuming continuous data, and it...

Thanks for the report, I will take a look soon. I am also looping in the two people who know this part of the code best: @maugavilla @TDJorgensen : in...

Thanks for looking at it. This is an interesting issue that I haven't yet figured out. I have drastically simplified the model, and I still see inflated `p_waic` and `p_loo`:...

Terrence's interpretation is right: because this also happens in older versions of blavaan, I don't think that recent changes broke something. I will double-check the log-likelihood computations to make sure,...

I agree that excluding people on the basis of pareto_k is not a solution... I was just looking at how sensitive the information criteria were to those observations. It seems...