Fitting Bayesian multiple and mixedeffect regression models for circular data based on the projected normal distribution. Both continuous and categorical predictors can be included. Sampling from the posterior is performed via an MCMC algorithm. Posterior descriptives of all parameters, model fit statistics and Bayes factors for hypothesis tests for inequality constrained hypotheses are provided. See Cremers, Mulder & Klugkist (2018) <doi:10.1111/bmsp.12108> and NuñezAntonio & GuttiérezPeña (2014) <doi:10.1016/j.csda.2012.07.025>.
Package details 


Author  Jolien Cremers [aut, cre] 
Maintainer  Jolien Cremers <[email protected]> 
License  GPL3 
Version  1.0.0 
URL  https://github.com/joliencremers/bpnreg 
Package repository  View on CRAN 
Installation 
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