Package: tbart 1.0

Chris Brunsdon

tbart: Teitz and Bart's p-Median Algorithm

Solves Teitz and Bart's p-median problem - given a set of points attempts to find subset of size p such that summed distances of any point in the set to the nearest point in p is minimised. Although generally effective, this algorithm does not guarantee that a globally optimal subset is found.

Authors:Chris Brunsdon

tbart_1.0.tar.gz
tbart_1.0.zip(r-4.7-x86_64)tbart_1.0.zip(r-4.7-arm64)tbart_1.0.zip(r-4.6-x86_64)tbart_1.0.zip(r-4.6-arm64)tbart_1.0.zip(r-4.5-x86_64)
tbart_1.0.tgz(r-4.6-x86_64)tbart_1.0.tgz(r-4.6-arm64)tbart_1.0.tgz(r-4.5-x86_64)tbart_1.0.tgz(r-4.5-arm64)
tbart_1.0.tar.gz(r-4.7-arm64)tbart_1.0.tar.gz(r-4.7-x86_64)tbart_1.0.tar.gz(r-4.6-arm64)tbart_1.0.tar.gz(r-4.6-x86_64)
tbart_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tbart/json (API)

# Install 'tbart' in R:
install.packages('tbart', repos = c('https://emri-setup.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 1 stars 19 downloads 7 exports 3 dependencies

Last updated from:7d3de7e105. Checks:13 ERROR, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR444
linux-devel-x86_64ERROR412
source / vignettesOK165
linux-release-arm64ERROR112
linux-release-x86_64ERROR120
macos-release-arm64ERROR129
macos-release-x86_64ERROR322
macos-oldrel-arm64ERROR132
macos-oldrel-x86_64ERROR188
windows-devel-arm64ERROR875
windows-devel-x86_64ERROR606
windows-release-arm64ERROR883
windows-release-x86_64ERROR96
windows-oldrel-x86_64ERROR88
wasm-releaseOK116

Exports:allocateallocationseuc.distsmink.distsstar.diagramtbtb.raw

Dependencies:latticeRcppsp