Fitting Bayesian Models for Single-Case Experimental Designs

I thank Larry Hedges and Vincent Kieftenbeld for their support and guidance. Various details of the background, the software setup, and the advantages of such a setup were presented at two seminars and one conference by invitation, and one conference through peer-review selection – Centre for Multilevel Modelling, University of Bristol, April 2016; the Quantitative Hub Seminar Series, Oxford University, June 2016; Texas Universities Educational Statisticians and Psychometricians Annual Meeting, March 2017; Southwest Educational Research Association, February 2017 (peer-reviewed).

All programs are available on github for download at https://github.com/prathiba-stat/BITS-tutorial.git. The readme file gives detailed instructions on how to get started with R and the programs.