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Circular Data Modelling


  • Cremers, J. Mulder, K.T., Klugkist, I. (2017). Circular interpretation of regression coefficients. British Journal of Mathematical and Statistical Psychology. In press.
  • Cremers, J. Mainhard, M.T., Klugkist, I. (2017). Assessing a Bayesian
    Embedding Approach to Circular Regression Models. Manuscript under review.
  • Cremers, J. & Klugkist, I. (2017). How to analyze circular data: A tutorial for projected normal regression models. Working paper.
  • Jansen, I., Cremers, J., Klugkist, I. (2017). Bayesian regression analysis of circular data using the wrapping approach. Working paper.
  • Ketelaar, J., Cremers, J., Mulder, K., Klugkist, I. (2015). Statistiek op de cirkel. STAtOR, 16(3), 24-27.
  • Baayen, C., Klugkist, I. (2014). Evaluating order-constrained hypotheses for circular data from a between-within subjects design. Psychological Methods, 19, 398-408
  • Baayen, C., Klugkist, I., Mechsner, F. (2012). A test of order constrained hypotheses for circular data with applications to human movement science. Journal of Motor Behavior, 44, 351-363
  • Klugkist, I., Bullens, J., Postma, A. (2012). Evaluating order constrained hypotheses for circular data using permutation tests. British Journal of Mathematical and Statistical Psychology, 65, 222-236

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