theta

estimated linear coefficients of the first component

estimated linear coefficients of the second component

Compute the Likelihood of the PN distribution

Fitting Bayesian multiple and mixed-effect 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 Nu<c3><b1>ez-Antonio & Gutti<c3><a9>rez-Pe<c3><b1>a (2014)
<doi:10.1016/j.csda.2012.07.025>.

lik: Compute the Likelihood of the PN distribution

Description

Usage

Arguments