Package: circglmbayes
Type: Package
Date: 2021-01-22
Title: Bayesian Analysis of a Circular GLM
Version: 1.3.0
Authors@R: person("Kees", "Mulder", 
           email = "keestimmulder@gmail.com", 
           role = c("aut", "cre"))
Maintainer: Kees Mulder <keestimmulder@gmail.com>
Description: 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/j.jmp.2017.07.001>.
License: GPL-3
Encoding: UTF-8
ByteCompile: true
URL: https://github.com/keesmulder/circglmbayes
BugReports: https://github.com/keesmulder/circglmbayes/issues
LazyData: true
Depends: R (>= 2.10)
LinkingTo: Rcpp, BH, RcppArmadillo
Imports: Rcpp, stats, graphics, shiny, grDevices, ggplot2, reshape2,
        coda
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-01-22 12:26:03 UTC; keest
Author: Kees Mulder [aut, cre]
Repository: CRAN
Date/Publication: 2021-01-22 13:10:02 UTC
