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: 0.2.2
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
NeedsCompilation: no
Packaged: 2022-01-04 01:58:20 UTC; hongseung-gi
Author: Sungkyu Jung [aut, cph],
  Seungki Hong [aut, cre],
  Kiho Park [ctb],
  Byungwon Kim [ctb]
Maintainer: Seungki Hong <skgaboja@snu.ac.kr>
Repository: CRAN
Date/Publication: 2022-01-04 10:10:05 UTC
Built: R 4.6.0; ; 2026-04-03 03:09:24 UTC; windows
