The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
I've encountered an issue with retrieving model fit for imputed data. A similar issue was reported before (see https://github.com/michaelhallquist/MplusAutomation/issues/38#issuecomment-303267703), but when using maximum likelihood estimation with continuous outcomes, Mplus provides a single value for each fit index rather than detailed proportions and percentiles. This hinders the readModels function from retrieving the model fit properly.
Can this be fixed for this situation? Below is my output.
test.txt
Hi,
I've encountered an issue with retrieving model fit for imputed data. A similar issue was reported before (see https://github.com/michaelhallquist/MplusAutomation/issues/38#issuecomment-303267703), but when using maximum likelihood estimation with continuous outcomes, Mplus provides a single value for each fit index rather than detailed proportions and percentiles. This hinders the readModels function from retrieving the model fit properly.
Can this be fixed for this situation? Below is my output. test.txt
Thanks a lot!
Best, Linem