# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "INLAcircular" in publications use:' type: software license: GPL-3.0-or-later title: 'INLAcircular: Bayesian Joint Circular Regression Using ''INLA''' version: 1.0.0 doi: 10.48550/arXiv.2602.08413 abstract: 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) . 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) . authors: - family-names: Ye given-names: Xiang email: xiang.ye@kaust.edu.sa - family-names: Van Niekerk given-names: Janet - family-names: Rue given-names: Haavard preferred-citation: type: generic title: A Bayesian regression framework for circular models with INLA authors: - family-names: Ye given-names: Xiang email: xiang.ye@kaust.edu.sa - family-names: Van Niekerk given-names: Janet - family-names: Rue given-names: Haavard year: '2026' doi: 10.48550/arXiv.2602.08413 url: https://arxiv.org/abs/2602.08413 notes: arXiv preprint repository: https://cran.r-universe.dev repository-code: https://github.com/XiangYEstats/INLAcircular commit: c43d891eb1a10ab689407f6b3ec54e196d498375 url: https://github.com/XiangYEstats/INLAcircular date-released: '2026-10-28' contact: - family-names: Ye given-names: Xiang email: xiang.ye@kaust.edu.sa references: - type: article title: Penalizing complexity priors for Bayesian inference of circular models authors: - family-names: Ye given-names: Xiang - family-names: Van Niekerk given-names: Janet - family-names: Rue given-names: HÃ¥vard journal: Statistical Modelling year: '2026' doi: 10.1177/1471082X261453677 url: https://doi.org/10.1177/1471082X261453677