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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.

Version: 1.0.0
Depends: R (≥ 3.1.0)
Imports: Rcpp, checkmate
LinkingTo: Rcpp
Suggests: covr, testthat, scatterplot3d
Published: 2023-03-30
DOI: 10.32614/CRAN.package.rrandvec
Author: Jakob Bossek ORCID iD [aut, cre, cph]
Maintainer: Jakob Bossek <j.bossek at gmail.com>
BugReports: https://github.com/jakobbossek/rrandvec/issues
License: BSD_2_clause + file LICENSE
URL: https://jakobbossek.github.io/rrandvec/, https://github.com/jakobbossek/rrandvec
NeedsCompilation: yes
Materials: NEWS
CRAN checks: rrandvec results

Documentation:

Reference manual: rrandvec.pdf

Downloads:

Package source: rrandvec_1.0.0.tar.gz
Windows binaries: r-devel: rrandvec_1.0.0.zip, r-release: rrandvec_1.0.0.zip, r-oldrel: rrandvec_1.0.0.zip
macOS binaries: r-release (arm64): rrandvec_1.0.0.tgz, r-oldrel (arm64): rrandvec_1.0.0.tgz, r-release (x86_64): rrandvec_1.0.0.tgz, r-oldrel (x86_64): rrandvec_1.0.0.tgz

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.