DirStats: Nonparametric Methods for Directional Data
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.
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=DirStats
to link to this page.