INLAcircular: Bayesian Joint Circular Regression Using 'INLA'
Provides a Bayesian regression framework for joint models with
circular responses and covariates using integrated nested Laplace
approximations, following Ye, Van Niekerk and Rue (2026)
<doi:10.48550/arXiv.2602.08413>. The package supports link-adjusted von
Mises likelihoods, shared latent predictors, structured latent effects, and optional
LKJ-based multivariate covariance models. It also provides compiled
circular densities and d/p/q/r penalized-complexity priors for von Mises,
cardioid, and wrapped Cauchy concentration parameters as developed by
Ye, Van Niekerk and Rue (2026) <doi:10.1177/1471082X261453677>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, stats, utils |
| Suggests: |
circular, graphpcor, INLA (≥ 25.08.21), INLAtools, knitr, pkgload, rmarkdown |
| Published: |
2026-10-28 |
| DOI: |
10.32614/CRAN.package.INLAcircular (may not be active yet) |
| Author: |
Xiang Ye [aut, cre, cph],
Janet Van Niekerk [aut],
Haavard Rue [aut, cph],
Gerard Jungman [ctb, cph] (Bessel routines adapted from the GNU
Scientific Library),
Peter John Acklam [ctb] (Normal quantile approximation) |
| Maintainer: |
Xiang Ye <xiang.ye at kaust.edu.sa> |
| BugReports: |
https://github.com/XiangYEstats/INLAcircular/issues |
| License: |
GPL (≥ 3) |
| Copyright: |
see file COPYRIGHTS |
| URL: |
https://github.com/XiangYEstats/INLAcircular |
| NeedsCompilation: |
yes |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable |
| Citation: |
INLAcircular citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
INLAcircular results |
Documentation:
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