polykde-package: 'polykde': Polyspherical Kernel Density Estimation

In polykde: Polyspherical Kernel Density Estimation

polykde: Polyspherical Kernel Density Estimation

Description

Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to García-Portugués and Meilán-Vila (2024) <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2411.04166")}> and García-Portugués and Meilán-Vila (2023) <\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-031-32729-2_4")}>.

Author(s)

Eduardo García-Portugués.

References

García-Portugués, E. and Meilán-Vila, A. (2024). Kernel density estimation with polyspherical data and its applications. arXiv:2411.04166. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2411.04166")}.

García-Portugués, E. and Meilán-Vila, A. (2023). Hippocampus shape analysis via skeletal models and kernel smoothing. In Larriba, Y. (Ed.), Statistical Methods at the Forefront of Biomedical Advances, pp. 63–82. Springer, Cham. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-031-32729-2_4")}.

See Also

Useful links:

• https://github.com/egarpor/polykde

• Report bugs at https://github.com/egarpor/polykde/issues

polykde documentation built on April 16, 2025, 1:11 a.m.