OpenMx General Help

Adding thresholds to model using umxThresholdMatrix
I am trying to add ordinal variables to the mrdoc model. I can't understand the proper way of setting this up using umxThresholdsMatrix. It seems OpenMx is complaining about the autonaming of the parameters:
Error: The thresholds matrix associated with the expectation function in m
odel 'MZ' contains column names and the expectation function has specified
non-identical threshnames.
Here is the MWE:
library(umx)
library(dplyr)
library(ggplot2)

Calculating expressions in model
I rewrote mrdoc to shorten the hundreds line model to the version below,
however in this version some paths are mixed in correlations. For example,
abraas is combining ab, ra, and as. I wanted to make it easier to the user
and provide each path separately, but I am not sure how to do this. I tried to use
mxEval, but I think it is beyond my capabilities.
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Still can't print vignettes (linux)
In a linux system calling vignettes is not listing available pages. Is this happening to other systems too?
I have here a npsol enabled version in a linux system, see code and output below.
> vignette(package="OpenMx")
no vignettes found
> tools::getVignetteInfo("OpenMx")
Package Dir Topic File Title R PDF
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Forum search issue
Forbidden
You don't have permission to access /search/node/test search on this server.
Not sure what I am doing wrong? Have tried multiple browsers, clearing cache, etc.
Cheers,
Toby.
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Issues with confidence interval estimation for Cholesky Decomposition ACE model

Residual Variance as a Function of a Latent Variable

Constraint Not Honored
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MxModel returns class MxRAMModel instead of MxModel?
I'm rolling back my installation of OpenMx now to check if it's due to the latest update, but that takes a while.. in the meantime - does anyone know why I'm getting MxRAMModels and how to prevent that?

Model identified at solution but not identified at start values
If we run mxCheckIdentification(pathrun) and the model is locally identified at solution, but we run mxCheckIdentification(pathmod) and the model is not locally identified at start values, would that be a reason of concern when evaluating the model?
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