doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.">

polykde: Polyspherical Kernel Density Estimation (original) (raw)

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 (2025) <doi:10.1080/01621459.2025.2521898> and García-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.

Version: 1.1.7
Depends: R (≥ 3.5.0)
Imports: abind, doFuture, foreach, future, gsl, movMF, progressr, Rcpp (≥ 1.0.8.3), RcppProgress, rotasym, sphunif
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: alphashape3d, Bessel, DirStats, FixedPoint, ks, manipulate, numDeriv, optimParallel, testthat, viridis, rgl, scatterplot3d, sdetorus, smacof
Published: 2025-07-27
DOI: 10.32614/CRAN.package.polykde
Author: Eduardo García-PortuguésORCID iD [aut, cre], Andrea Meilán-VilaORCID iD [ctb]
Maintainer: Eduardo García-Portugués
BugReports: https://github.com/egarpor/polykde/issues
License: GPL-3
URL: https://github.com/egarpor/polykde
NeedsCompilation: yes
Citation: polykde citation info
Materials: NEWS
CRAN checks: polykde results

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