MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

By Michael N. Hallquist, J. Wiley. Structural equation modeling : a multidisciplinary journal, 2018

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MplusAutomation is a package for R that facilitates complex latent variable analyses in Mplus involving comparisons among many models and parameters. More specifically, MplusAutomation provides tools to accomplish 3 objectives: to create and manage Mplus syntax for groups of related models; to automate the estimation of many models; and to extract, aggregate, and compare fit statistics, parameter estimates, and ancillary model outputs. We provide an introduction to the package using applied examples including a large-scale simulation study. By reducing the effort required for large-scale studies, a broad goal of MplusAutomation is to support methodological developments in structural equation modeling using Mplus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fc4803c496c726f8d029005f8fca4183daac62dc

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Citations in the corpus

Ten Frequently Asked Questions About Latent Class Analysis (2018, positive): “MplusAutomation in R (Hallquist & Wiley, 2018) provides useful ways to compile many syntax files, tabulate results, and create useful plots for interpreting results, and user support can be found online and through the package documentation.”
tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software (2018, methodology): “…tidyLPA package provides an interface to two different tools for estimating models, one from the open-source mclust R package (Scrucca, Fop, Murphy, & Raftery, 2017) and the other the commercial MPlus (Muthen & Muthen, 2017) software (via the MplusAutomation R package (Hallquist & Wiley, 2018)).”