Package: rvMF 0.1.0

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>.

Authors:Seungwoo Kang [aut, cre], Hee-Seok Oh [aut]

rvMF_0.1.0.tar.gz
rvMF_0.1.0.zip(r-4.5)rvMF_0.1.0.zip(r-4.4)rvMF_0.1.0.zip(r-4.3)
rvMF_0.1.0.tgz(r-4.4-x86_64)rvMF_0.1.0.tgz(r-4.4-arm64)rvMF_0.1.0.tgz(r-4.3-x86_64)rvMF_0.1.0.tgz(r-4.3-arm64)
rvMF_0.1.0.tar.gz(r-4.5-noble)rvMF_0.1.0.tar.gz(r-4.4-noble)
rvMF_0.1.0.tgz(r-4.4-emscripten)rvMF_0.1.0.tgz(r-4.3-emscripten)
rvMF.pdf |rvMF.html
rvMF/json (API)
NEWS

# Install 'rvMF' in R:
install.packages('rvMF', repos = c('https://seungwoo-stat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/seungwoo-stat/rvmf/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

random-samplingspherevon-mises-fisher

3.60 score 1 stars 3 scripts 219 downloads 3 exports 12 dependencies

Last updated 7 months agofrom:05e23165a8. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64OKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64OKOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64OKOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKOct 24 2024

Exports:dvMFanglervMFrvMFangle

Dependencies:Besselgamlss.distgmpMASSRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRmpfrscModels