Nonparametric Methods for Directional Data R package DirStats version 1.0.0 Nonparametric kernel density estimation and bandwidth selection for directional data on the hypersphere S^q, q >= 1. Implements the kernel density estimator of Bai et al. (1988) <doi:10.1016/0047-259X(88)90113-3> in kde_dir(), the likelihood and least squares cross-validation bandwidth selectors of Hall et al. (1987) <doi:10.1093/biomet/74.4.751> in bw_dir_lcv() and bw_dir_lscv(), and the rule-of-thumb and plug-in selectors of García-Portugués (2013) <doi:10.1214/13-EJS821> in bw_dir_rot(), bw_dir_ami(), and bw_dir_emi(). Also fits mixtures of von Mises-Fisher distributions with bic_vmf_mix(), integrates on S^q, and provides fast stable evaluations of the log-Bessel function and the von Mises-Fisher normalizing constant for large orders and concentrations. Software Depends: R (>= 3.6.0) Imports: Bessel, movMF Suggests: rotasym, testthat (>= 3.0.0), viridisLite, withr Eduardo García-Portugués <edgarcia@est-econ.uc3m.es> Comprehensive R Archive Network (CRAN) Eduardo García-Portugués [aut, cre] (ORCID: <https://orcid.org/0000-0002-9224-4111>) GPL-3 2026-11-12 application/tgz https://CRAN.R-project.org/package=DirStats doi:10.32614/CRAN.package.DirStats