Hi.
This is probably a good place to ask if anyone has implemented the new pairwise maximum likelihood estimator for Open Mx? For example, this paper mentions that "PLM fit estimates can also be obtained with Open Mx":
https://doi.org/10.3389/fpsyg.2016.00528
I did not yet find an implementation and the tutorial for making new objective functions seemed a bit intimidating with respect to my current scheduling. It would be great if someone could point us to a ready-made solution. Or confirm that this is relatively rapid to implement using R and math only. This might be critical regarding whether we can estimate as big a model as we wish, or not. WLS, DWLS, etc. does not reliably converge and polychoric correlations lead to serious biases (cannot be remedied by bootstrapping) in our case. Thank you in advance, and thanks for the great software!
Best wishes,
Tom