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/>.

Getting started

Package details

AuthorKees Mulder [aut, cre]
MaintainerKees Mulder <[email protected]>
Package repositoryView on CRAN
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circglmbayes documentation built on March 18, 2018, 2:01 p.m.