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 thought I would never use imputation given that FIML is more convenient and offers the same features. However, in face of comlicated models (4+ latent variables, multigroup, ordinal observed), it became the only option. Here are some issues I found:
I thought I would never use imputation given that FIML is more convenient and offers the same features. However, in face of comlicated models (4+ latent variables, multigroup, ordinal observed), it became the only option. Here are some issues I found:
Mplus takes the asterisk as a placeholder for the number of the draw. A quick fix should be something like below.
(Sorry, I have not developed this fully, I find a PR for this package a bit intimidating)
example_imputation.zip