Package: opdisDownsampling 1.6

Jorn Lotsch

opdisDownsampling: Optimal Distribution Preserving Down-Sampling of Bio-Medical Data

An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data <doi:10.1371/journal.pone.0255838>.

Authors:Jorn Lotsch [aut, cre], Sebastian Malkusch [aut], Alfred Ultsch [aut]

opdisDownsampling_1.6.tar.gz
opdisDownsampling_1.6.zip(r-4.7)opdisDownsampling_1.6.zip(r-4.6)opdisDownsampling_1.6.zip(r-4.5)
opdisDownsampling_1.6.tgz(r-4.6-x86_64)opdisDownsampling_1.6.tgz(r-4.6-arm64)opdisDownsampling_1.6.tgz(r-4.5-x86_64)opdisDownsampling_1.6.tgz(r-4.5-arm64)
opdisDownsampling_1.6.tar.gz(r-4.7-arm64)opdisDownsampling_1.6.tar.gz(r-4.7-x86_64)opdisDownsampling_1.6.tar.gz(r-4.6-arm64)opdisDownsampling_1.6.tar.gz(r-4.6-x86_64)
opdisDownsampling_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
opdisDownsampling/json (API)

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

Bug tracker:https://github.com/jornlotsch/opdisdownsampling/issues

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

On CRAN:

Conda:

cpp

6.33 score 2 stars 10 packages 13 scripts 7.9k downloads 1 mentions 2 exports 11 dependencies

Last updated from:cabc1c6cbf. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK134
linux-devel-x86_64OK114
source / vignettesOK177
linux-release-arm64OK127
linux-release-x86_64OK113
macos-release-arm64OK100
macos-release-x86_64OK198
macos-oldrel-arm64OK88
macos-oldrel-x86_64OK175
windows-develOK96
windows-releaseOK110
windows-oldrelOK93
wasm-releaseOK127

Exports:get_seedopdisDownsampling

Dependencies:bitopscaToolscodetoolscpp11doParallelforeachiteratorspbmcapplypracmaRcpptwosamples