1 Univariate Data Visualization2 Multivariate Data Visualization3 Generalized Linear Models 14 Generalized Linear Models 25 Generalized Additive Models6 Machine Learning: Introduction7 Machine Learning: Unsupervised8 Machine Learning: Supervised9 Missing Data10 Generalized Linear Mixed Models: Introduction11 Generalized Linear Mixed Models: Linear12 Generalized Linear Mixed Models: Advanced 13 Modeling IIVBibliography
Matt Wiley is a tenured, associate professor of mathematics
with awards in both mathematics education and honour student
engagement. He earned degrees in pure mathematics, computer
science, and business administration through the University of
California and Texas A&M systems. He serves as director for
Victoria College's quality enhancement plan and managing partner at
Elkhart Group Limited, a statistical consultancy. With programming
found ways to meld his passion for writing with his joy of logical
problem solving and data science. From the boardroom to the
classroom, Matt enjoys finding dynamic ways to partner with
interdisciplinary and diverse teams to make complex ideas and
projects understandable and solvable.
Joshua F. Wiley is a lecturer in the Monash Institute for Cognitive and Clinical Neurosciences and School of Psychological Sciences at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles, and his research focuses on using advanced quantitative methods to understand the complex interplays of psychological, social, and physiological processes in relation to psychological and physical health. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through consulting at Elkhart Group Limited and former work at the UCLA Statistical Consulting Group, he has supported a wide array of clients ranging from graduate students, to experienced researchers, and biotechnology companies. He also develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.