Package: ClusTorus Type: Package Title: Prediction and Clustering on the Torus by Conformal Prediction Description: Provides various tools of for clustering multivariate angular data on the torus. The package provides angular adaptations of usual clustering methods such as the k-means clustering, pairwise angular distances, which can be used as an input for distance-based clustering algorithms, and implements clustering based on the conformal prediction framework. Options for the conformal scores include scores based on a kernel density estimate, multivariate von Mises mixtures, and naive k-means clusters. Moreover, the package provides some basic data handling tools for angular data. Version: 0.2.4 License: GPL-3 Authors@R: c(person("Sungkyu", "Jung", email = "sungkyu@snu.ac.kr", role = c("aut","cph")), person("Seungki", "Hong", email = "skgaboja@snu.ac.kr", role = c("aut", "cre")), person("Kiho", "Park", role = c("ctb")), person("Byungwon", "Kim", role = c("ctb"))) Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.1 URL: https://github.com/sungkyujung/ClusTorus BugReports: https://github.com/sungkyujung/ClusTorus/issues Depends: R (>= 3.6.0) Imports: BAMBI, igraph, purrr, ggplot2, rlang, stats, utils, cowplot Suggests: knitr, rmarkdown, tidyverse VignetteBuilder: knitr Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev Repository: https://sungkyujung.r-universe.dev Date/Publication: 2022-04-28 06:25:41 UTC RemoteUrl: https://github.com/sungkyujung/clustorus RemoteRef: HEAD RemoteSha: 617d57a6b9649be47ccfa292c94462b657b6a237 NeedsCompilation: no Packaged: 2026-09-22 09:52:35 UTC; root Author: Sungkyu Jung [aut, cph], Seungki Hong [aut, cre], Kiho Park [ctb], Byungwon Kim [ctb] Maintainer: Seungki Hong