Bayesian projected normal regression models for circular data
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.
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.
To install R-bpnreg, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install R-bpnreg
To see what files were installed by R-bpnreg, run:
port contents R-bpnreg
To later upgrade R-bpnreg, run:
sudo port selfupdate && sudo port upgrade R-bpnreg
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