Package: rrandvec 1.0.0

rrandvec: Generate Random Vectors Whose Components Sum Up to One

A single method implementing multiple approaches to generate pseudo-random vectors whose components sum up to one (see, e.g., Maziero (2015) <doi:10.1007/s13538-015-0337-8>). The components of such vectors can for example be used for weighting objectives when reducing multi-objective optimisation problems to a single-objective problem in the socalled weighted sum scalarisation approach.

Authors:Jakob Bossek [aut, cre, cph]

rrandvec_1.0.0.tar.gz
rrandvec_1.0.0.zip(r-4.7)rrandvec_1.0.0.zip(r-4.6)rrandvec_1.0.0.zip(r-4.5)
rrandvec_1.0.0.tgz(r-4.6-x86_64)rrandvec_1.0.0.tgz(r-4.6-arm64)rrandvec_1.0.0.tgz(r-4.5-x86_64)rrandvec_1.0.0.tgz(r-4.5-arm64)
rrandvec_1.0.0.tar.gz(r-4.7-arm64)rrandvec_1.0.0.tar.gz(r-4.7-x86_64)rrandvec_1.0.0.tar.gz(r-4.6-arm64)rrandvec_1.0.0.tar.gz(r-4.6-x86_64)
rrandvec_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
rrandvec/json (API)

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

Bug tracker:https://github.com/jakobbossek/rrandvec/issues

Pkgdown/docs site:https://jakobbossek.github.io

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

On CRAN:

Conda:

random-vectorcpp

3.00 score 2 stars 1 scripts 262 downloads 1 exports 3 dependencies

Last updated from:fb465753dc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK147
linux-devel-x86_64OK116
source / vignettesOK176
linux-release-arm64OK120
linux-release-x86_64OK102
macos-release-arm64OK98
macos-release-x86_64OK647
macos-oldrel-arm64OK89
macos-oldrel-x86_64OK147
windows-develOK79
windows-releaseOK90
windows-oldrelOK90
wasm-releaseOK148

Exports:rrandvec

Dependencies:backportscheckmateRcpp