Projects & teaching materials.

An extension of the MplusAutomation package, MplusLGM is designed to facilitate the implementation of mixture models in Mplus.

This R tutorial automates the 3-step ML auxiliary variable procedure using the MplusAutomation package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters. To learn more about auxiliary variable integration methods and why multi-step methods are necessary for producing un-biased estimates see Asparouhov & Muthén (2014).

This `R` tutorial automates the BCH two-step axiliary variable procedure (Bolk, Croon, Hagenaars, 2004) using the `MplusAutomation` package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters.

This walkthrough is presented by the IMMERSE team and will go through some common tasks carried out in R.

Demonstrate the speed of running an LCA analysis using MplusAutomation

Civic education is an important subject for every citizen in our modern society. It is important that every individual acknowledge the importance of civil rights and obligations. One of the most commented topics is how society faces and behaves towards the great diversity of individuals and cultures. Students are a great population to be studied…

Computed multiple regression models in R using the packages Neuropointillist and MplusAutomation for a project examining neighborhood social processes and amygdala reactivity.

Code used for the analysis in "Discernment of Mediator and Outcome Measurement in the PACE trial"

More efficient SEM via R? SEMantics presentation, 16th March 2021