This is the research archive for Mulder & Klugkist (2017), "Bayesian Estimation and Hypothesis Tests for a Circular GLM".
This is the research archive only. If your interest is in applying the methods, please use the package CircGLMBayes instead, as that package is much more user-friendly.
The Sweave files for the published article. The published article can be generated by knitting the .Rnw file.
A variety of miscellaneous codes for exploring and describing circular data in general and the circular GLM model in particular.
Code to generate data from the circular GLM model.
R code to run the simulation studies described in the paper. The main script is simulationStudyCircGLM.R, which contains construction, print and plot methods for cGLMSim objects, which are result objects for the simulation study.
R code to analyze the simulation studies described in the paper.
Some R plotting codes for the plots from the paper.