I'm trying to create a function to calculate SRMR, but I'm not sure how to do this when there are missing data. Does anyone have suggestions about what observed covariance matrix to use when there are missing data (or does anyone know what mplus or amos use to get SRMR with missing data)?
Also (and I'm sure this is much easier), how can I get the predicted covariance matrix among observed variables in OpenMx? I'm sure this is obvious, but I couldn't figure out how to pull this out of the output.
Thanks!