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General Software Developments

Related Resources

Bayesian factor analysis using variable selection approaches, with comparisons to model comparison criteria
Cusp Catastrophe Model as a Mixture SEM
Regime-Switching Bivariate Dual Change Score Model

Related Tutorials

The Matrix of Implied Causation (MIC) for Design and Model Checking
Matrix of Implied Causation in a Simple Mediation
Matrix of Implied Causation for Intervention Comparison

Our QuantDev faculty, students, and collaborators frequently develop software in conjunction with methodological innovations.

This page collects links to Resources pages (where software can be downloaded) and related publications.

Related Publications

Lu, Z. - H., Chow, S. - M., & Loken, E.. (2016). Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences. Multivariate Behavioral Research, 1 - 21. presented at the May-06-2017. doi:10.1080/00273171.2016.1168279
Chow, S. - M., Witkiewitz, K., Grasman, R. P. P. P., & Maisto, S. A.. (2015). The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods, 20(1), 142 - 164. presented at the Jan-01-2015. doi:10.1037/a0038962
Chow, S. - M., & Zhang, G.. (2013). Nonlinear Regime-Switching State-Space (RSSS) Models. Psychometrika, 78(4), 740 - 768. presented at the Jan-10-2013. doi:10.1007/s11336-013-9330-8
Chow, S. - M., Grimm, K. J., Filteau, G., Dolan, C. V., & McArdle, J. J.. (2013). Regime-Switching Bivariate Dual Change Score Model. Multivariate Behavioral Research, 48(4), 463 - 502. presented at the Jan-07-2013. doi:10.1080/00273171.2013.787870