R package CircGLMBayes: Bayesian Analysis of a Circular GLM. Perform a Bayesian analysis of a circular outcome General Linear Model (GLM), which allows regressing a circular outcome on linear and categorical predictors. Posterior samples are obtained by means of an MCMC algorithm written in ’C++’ through ’Rcpp’. Estimation and credible intervals are provided, as well as hypothesis testing through Bayes Factors. See Mulder and Klugkist (2017) <doi:10.1016/j.jmp.2017.07.001>.
References in zbMATH (referenced in 1 article , 1 standard article )
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- Mulder, Kees; Klugkist, Irene: Bayesian estimation and hypothesis tests for a circular generalized linear model (2017)