Package: rvMF 0.1.2

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_0.1.2.tar.gz
rvMF_0.1.2.zip(r-4.7)rvMF_0.1.2.zip(r-4.6)rvMF_0.1.2.zip(r-4.5)
rvMF_0.1.2.tgz(r-4.6-x86_64)rvMF_0.1.2.tgz(r-4.6-arm64)rvMF_0.1.2.tgz(r-4.5-x86_64)rvMF_0.1.2.tgz(r-4.5-arm64)
rvMF_0.1.2.tar.gz(r-4.7-arm64)rvMF_0.1.2.tar.gz(r-4.7-x86_64)rvMF_0.1.2.tar.gz(r-4.6-arm64)rvMF_0.1.2.tar.gz(r-4.6-x86_64)
rvMF_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rvMF/json (API)
NEWS

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

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

Uses libs:
  • mpfr4– Multiple precision floating-point computation
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

random-samplingspherevon-mises-fishermpfr4cpp

3.00 score 1 stars 3 scripts 592 downloads 3 exports 8 dependencies

Last updated from:9db79ad23a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK115
source / vignettesOK158
linux-release-arm64OK143
linux-release-x86_64OK118
macos-release-arm64OK84
macos-release-x86_64OK263
macos-oldrel-arm64OK102
macos-oldrel-x86_64OK345
windows-develOK90
windows-releaseOK90
windows-oldrelOK119
wasm-releaseOK100

Exports:dvMFanglervMFrvMFangle

Dependencies:BesselgmpRcppRcppArmadilloRcppParallelRfastRmpfrzigg