Expertise: Statistical modeling and computation with focus on R, Bayesian analysis, mixed models, additive models, latent variable modeling, text analysis, visualization, machine learning, reproducible research, psychometrics.
Degree: Ph.D. in Experimental Psychology, University of North Texas
Michael has modeling and consulting experience across varied domains, including social and physical sciences, business, and humanities. He has particular expertise in mixed models, additive models, latent variable models, text analysis, structural equations modeling, machine learning techniques, Bayesian inference, reproducible research practices, data visualization, and efficient programming practices.
For more about Michael, visit https://m-clark.github.io/.