Package: bpnreg
Type: Package
Title: Bayesian Projected Normal Regression Models for Circular Data
Version: 1.0.3
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 (>= 0.9.800.1.0), BH (>=
        1.69.0.1)
Imports: Rcpp (>= 1.0.2), MASS (>= 7.3.51.4), haven (>= 2.1.1), methods
        (>= 3.6.0)
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2020-02-04 16:59:37 UTC; bsj777
Author: Jolien Cremers [aut, cre]
Maintainer: Jolien Cremers <joliencremers@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-04 19:30:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 11:33:06 UTC; windows
Archs: i386, x64
