Package: OjaNP 2.0

Daniel Fischer

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-4.7-arm64)OjaNP_2.0.zip(r-4.6-x86_64)OjaNP_2.0.zip(r-4.6-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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

openblascpp

1.18 score 15 scripts 289 downloads 15 exports 13 dependencies

Last updated from:2509a397e0. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK155
source / vignettesOK216
linux-release-arm64OK134
linux-release-x86_64OK151
windows-devel-arm64OK275
windows-devel-x86_64OK195
windows-release-arm64OK288
windows-release-x86_64OK152
wasm-releaseOK109

Exports:hyperplaneoja1sampleTestojaCsampleTestojaMedianojaMedianControlojaMedianEvoojaMedianExojaMedianExBojaMedianFnojaMedianGridojaRankojaRCMojaSCMojaSignojaSignedRank

Dependencies:DBIICSICSNPlatticeMatrixminqamitoolsmvtnormnumDerivRcppRcppArmadillosurveysurvival