Implementation of uniformity tests on the circle and (hyper)sphere. The main function of the package is unif_test(), which conveniently collects more than 35 tests for assessing uniformity on S^{p-1} = {x in R^p : ||x|| = 1}, p >= 2. The test statistics are implemented in the unif_stat() function, which allows computing several statistics for different samples within a single call, thus facilitating Monte Carlo experiments. Furthermore, the unif_stat_MC() function allows parallelizing them in a simple way. The asymptotic null distributions of the statistics are available through the function unif_stat_distr(). The core of 'sphunif' is coded in C++ by relying on the 'Rcpp' package. The package also provides several novel datasets and gives the replicability for the data applications/simulations in GarcÃa-Portugués et al. (2021) <doi:10.1007/978-3-030-69944-4_12>, GarcÃa-Portugués et al. (2023) <doi:10.3150/21-BEJ1454>, GarcÃa-Portugués et al. (2024) <doi:10.48550/arXiv.2108.09874>, and Fernández-de-Marcos and GarcÃa-Portugués (2024) <doi:10.48550/arXiv.2405.13531>.
Version: 1.4.0 Depends: R (≥ 3.5.0), Rcpp Imports: doFuture, doRNG, foreach, future, gsl, rotasym LinkingTo: Rcpp, RcppArmadillo Suggests: CompQuadForm, goftest, knitr, markdown, mvtnorm, numDeriv, progress, progressr, rmarkdown, scatterplot3d, testthat, viridisLite Published: 2024-05-24 DOI: 10.32614/CRAN.package.sphunif Author: Eduardo GarcÃa-Portugués [aut, cre], Thomas Verdebout [aut], Alberto Fernández-de-Marcos [ctb], Paula Navarro [ctb] Maintainer: Eduardo GarcÃa-Portugués <edgarcia at est-econ.uc3m.es> BugReports: https://github.com/egarpor/sphunif License: GPL-3 URL: https://github.com/egarpor/sphunif NeedsCompilation: yes Citation: sphunif citation info Materials: NEWS CRAN checks: sphunif results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=sphunif to link to this page.
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