Package: bpnreg
Type: Package
Title: Bayesian Projected Normal Regression Models for Circular Data
Version: 2.0.3
Authors@R: person("Jolien", "Cremers", email = "joliencremers@gmail.com",
                  role = c("aut", "cre"))
Description: 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
        Nuñez-Antonio & Guttiérez-Peña (2014)
        <doi:10.1016/j.csda.2012.07.025>.
Depends: R (>= 3.6.0)
License: GPL-3
URL: https://github.com/joliencremers/bpnreg
BugReports: https://github.com/joliencremers/bpnreg/issues
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp (>= 1.0.2), RcppArmadillo (>= 0.10.1.2.0), BH (>=
        1.69.0.1)
Imports: Rcpp (>= 1.0.2), haven (>= 2.1.1), methods (>= 3.6.0)
RoxygenNote: 7.2.3
Suggests: qpdf, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-09 09:31:59 UTC; root
Author: Jolien Cremers [aut, cre]
Maintainer: Jolien Cremers <joliencremers@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2024-01-16 02:40:55 UTC
RemoteUrl: https://github.com/cran/bpnreg
RemoteRef: HEAD
RemoteSha: 5c3b0d18538c296e4284e0cec2c3b8fafb4bb178