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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rvMF" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'rvMF: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors'
version: 0.1.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.rvMF
abstract: Generates pseudo-random vectors that follow an arbitrary von Mises-Fisher
  distribution on a sphere. This method is fast and efficient when generating a large
  number of pseudo-random vectors. Functions to generate random variates and compute
  density for the distribution of an inner product between von Mises-Fisher random
  vector and its mean direction are also provided. Details are in Kang and Oh (2024)
  <https://doi.org/10.1007/s11222-024-10419-3>.
authors:
- family-names: Kang
  given-names: Seungwoo
  email: kangsw@skku.edu
  orcid: https://orcid.org/0000-0001-8082-0794
- family-names: Oh
  given-names: Hee-Seok
  email: heeseok@stats.snu.ac.kr
preferred-citation:
  type: manual
  title: 'rvMF: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors'
  authors:
  - family-names: Kang
    given-names: Seungwoo
    email: kangsw@skku.edu
    orcid: https://orcid.org/0000-0001-8082-0794
  - family-names: Oh
    given-names: Hee-Seok
    email: heeseok@stats.snu.ac.kr
  year: '2026'
  notes: R package version 0.1.2
  url: https://github.com/seungwoo-stat/rvMF
repository: https://cran.r-universe.dev
repository-code: https://github.com/seungwoo-stat/rvMF
commit: fc02b57fffac5f2d6615f603ec82943087ef7c02
url: https://github.com/seungwoo-stat/rvMF
date-released: '2026-04-10'
contact:
- family-names: Kang
  given-names: Seungwoo
  email: kangsw@skku.edu
  orcid: https://orcid.org/0000-0001-8082-0794
references:
- type: article
  title: Novel sampling method for the von Mises--Fisher distribution
  authors:
  - family-names: Kang
    given-names: Seungwoo
  - family-names: Oh
    given-names: Hee-Seok
  journal: Statistics and Computing
  year: '2024'
  volume: '34'
  issue: '3'
  doi: 10.1007/s11222-024-10419-3
  start: '106'