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A website where users can build and find their favorite routes for completing in Mythic Plus dungeons in World of Warcraft®

Online supplementary materials of “Three extensions of the random intercept cross-lagged panel model” by Mulder and Hamaker (2021).

Underlying code for the online stats training website.

This repository has been transferred to jeroendmulder.github.io/RI-CLPM for easier maintenance. The Github Pages automatically redirects to the new Github Page.

Fonts for Programming（JP） / 'Ubuntu Mono' modification & composite 'Ubuntu Mono' and 'M+' font.

plus request, response when route 🚍

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).

Demonstrate the speed of running an LCA analysis using MplusAutomation

Scrape Mplus output files

hierarchical model esem and factor analysis

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.

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

MplusReadR is an R package that formats Mplus output from multiple models into APA-style tables and tidy datasets.

Mplus code for the LCS models in: Estrada, E., Ferrer, E., Román, F. J., Karama, S., & Colom, R. (2019). Time-lagged associations between cognitive and cortical development from childhood to early adulthood. Developmental Psychology, 55(6), 1338–1352. https://doi.org/10.1037/dev0000716

mplus trials demo

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

A collection of MPlus datasets and INP templates for study purposes.

growth mixture modeling in mplus