Package: OjaNP 2.0

OjaNP: Multivariate Methods Based on the Oja Median and Related Concepts

Calculating the Oja median, Oja signs and ranks and methods based upon them. For details, see the the corresponding publication Fischer, Mosler, et al. (2020) <doi:10.18637/jss.v092.i08>.

Authors:Daniel Fischer [aut, cre], Juho Eagling [aut], Karl Mosler [aut], Jyrki Möttönen [aut], Klaus Nordhausen [aut], Oleksii Pokotylo [aut], Daniel Vogel [aut], Tommi Ronkainen [ctb], Makoto Matsumoto [ctb, cph], Takuji Nishimura [ctb, cph], Shawn Cokus [ctb], Richard J. Wagner [ctb]

OjaNP_2.0.tar.gz
OjaNP_2.0.zip(r-4.7-x86_64)OjaNP_2.0.zip(r-4.6-x86_64)OjaNP_2.0.zip(r-4.5-x86_64)
OjaNP_2.0.tgz(r-4.6-x86_64)OjaNP_2.0.tgz(r-4.6-arm64)OjaNP_2.0.tgz(r-4.5-x86_64)OjaNP_2.0.tgz(r-4.5-arm64)
OjaNP_2.0.tar.gz(r-4.7-arm64)OjaNP_2.0.tar.gz(r-4.7-x86_64)OjaNP_2.0.tar.gz(r-4.6-arm64)OjaNP_2.0.tar.gz(r-4.6-x86_64)
OjaNP_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OjaNP/json (API)

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

Bug tracker:https://github.com/fischuu/ojanp/issues

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

On CRAN:

Conda:

openblascpp

2.60 score 1 stars 20 downloads 15 exports 13 dependencies

Last updated from:0d79b05e5f. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING138
linux-devel-x86_64WARNING163
source / vignettesOK188
linux-release-arm64WARNING146
linux-release-x86_64WARNING168
macos-release-arm64WARNING169
macos-release-x86_64WARNING293
macos-oldrel-arm64WARNING147
macos-oldrel-x86_64WARNING269
windows-develWARNING158
windows-releaseWARNING156
windows-oldrelWARNING221
wasm-releaseOK137

Exports:hyperplaneoja1sampleTestojaCsampleTestojaMedianojaMedianControlojaMedianEvoojaMedianExojaMedianExBojaMedianFnojaMedianGridojaRankojaRCMojaSCMojaSignojaSignedRank

Dependencies:DBIICSICSNPlatticeMatrixminqamitoolsmvtnormnumDerivRcppRcppArmadillosurveysurvival