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rvMF: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors

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) <doi:10.1007/s11222-024-10419-3>.

Version: 0.1.0
Imports: Bessel (≥ 0.6-0), Rcpp (≥ 1.0.10), Rfast (≥ 2.0.6), scModels (≥ 1.0.4)
LinkingTo: Rcpp
Published: 2024-03-27
Author: Seungwoo Kang ORCID iD [aut, cre], Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401 at snu.ac.kr>
BugReports: https://github.com/seungwoo-stat/rvMF/issues
License: GPL (≥ 3)
URL: https://github.com/seungwoo-stat/rvMF
NeedsCompilation: yes
Citation: rvMF citation info
Materials: NEWS
In views: Distributions
CRAN checks: rvMF results

Documentation:

Reference manual: rvMF.pdf

Downloads:

Package source: rvMF_0.1.0.tar.gz
Windows binaries: r-devel: rvMF_0.1.0.zip, r-release: rvMF_0.1.0.zip, r-oldrel: rvMF_0.1.0.zip
macOS binaries: r-release (arm64): rvMF_0.1.0.tgz, r-oldrel (arm64): rvMF_0.1.0.tgz, r-release (x86_64): rvMF_0.1.0.tgz, r-oldrel (x86_64): rvMF_0.1.0.tgz
Old sources: rvMF archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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