The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
Version: | 2.0.3 |
Depends: | R (≥ 3.6.0) |
Imports: | Rcpp (≥ 1.0.2), haven (≥ 2.1.1), methods (≥ 3.6.0) |
LinkingTo: | Rcpp (≥ 1.0.2), RcppArmadillo (≥ 0.10.1.2.0), BH (≥ 1.69.0.1) |
Suggests: | qpdf, knitr, rmarkdown |
Published: | 2024-01-15 |
DOI: | 10.32614/CRAN.package.bpnreg |
Author: | Jolien Cremers [aut, cre] |
Maintainer: | Jolien Cremers <joliencremers at gmail.com> |
BugReports: | https://github.com/joliencremers/bpnreg/issues |
License: | GPL-3 |
URL: | https://github.com/joliencremers/bpnreg |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | bpnreg results |
Reference manual: | bpnreg.pdf |
Vignettes: |
FAQ |
Package source: | bpnreg_2.0.3.tar.gz |
Windows binaries: | r-devel: bpnreg_2.0.3.zip, r-release: bpnreg_2.0.3.zip, r-oldrel: bpnreg_2.0.3.zip |
macOS binaries: | r-release (arm64): bpnreg_2.0.3.tgz, r-oldrel (arm64): bpnreg_2.0.3.tgz, r-release (x86_64): bpnreg_2.0.3.tgz, r-oldrel (x86_64): bpnreg_2.0.3.tgz |
Old sources: | bpnreg archive |
Please use the canonical form https://CRAN.R-project.org/package=bpnreg to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.