Machine Learning

Updated Document: Introduction to Machine Learning. The first doc I did with $\LaTeX$ / Sweave, but I hadn’t updated it in a very long time. It’s for those in applied disciplines that would have standard statistical training but probably no exposure to machine learning approaches. The document is now in html format via Rmarkdown, with some update to the content throughout. [Read More]

New and updated workshops

New/Updated Workshops: My God, it’s full of STARs! Using astrology to get more from your data. New workshop on generalized/structured additive regression models. Also gave an updated talk on Data Processing and Visualization in R.

Misc updates

Updated Doc: Graphical and Latent Variable Modeling. Updated the SEM document to include short section on Bayesian nonparametric models. Updated growth curve vs. mixed model simulation document.

IRT

Updated Doc: Graphical and Latent Variable Modeling. Updated the SEM document reflecting the completion of the associated workshop. In addition, added a new section on item response theory.

SEM

Updated Doc: Graphical and Latent Variable Modeling. Updated notes related to the SEM document. New content regards more on mediation and instrumental variable analysis, along with minor content additions through out that chapter and cleanup elsewhere.