Prediction and Clustering on the Torus by Conformal Prediction R package ClusTorus version 0.2.2 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. Software Depends: R (>= 3.6.0) Imports: BAMBI, igraph, purrr, ggplot2, rlang, stats, utils, cowplot Suggests: knitr, rmarkdown, tidyverse Seungki Hong <skgaboja@snu.ac.kr> Comprehensive R Archive Network (CRAN) Sungkyu Jung [aut, cph], Seungki Hong [aut, cre], Kiho Park [ctb], Byungwon Kim [ctb] GPL-3 2022-01-04 application/tgz https://CRAN.R-project.org/package=ClusTorus doi:10.32614/CRAN.package.ClusTorus