| circglmbayes | R Documentation |
This package contains functions to perform a Bayesian circular GLM, which
allows regressing a circular outcome on linear and categorical predictors.
The model used in this package is similar to the model used by
lm.circular form the package circular. Differences are that the model used
by this package treats categorical variables specially. In addition, several
hypothesis testing options are provided.
Estimation and uncertainty intervals are all performed in a Bayesian manner through MCMC. Bayesian hypothesis tests are provided through the Bayes factor.
The main function of the package is
circGLM, which runs an MCMC sampler in C++ through
Rcpp. This sampler returns an S3 object of type
circGLM, which can be further analyzed through associated
plot.circGLM and print.circGLM functions.
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