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 <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the circglmbayes package in your browser

Any scripts or data that you put into this service are public.

circglmbayes documentation built on Jan. 22, 2021, 5:09 p.m.