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.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

1.00 score 20 downloads 15 exports 13 dependencies

Last updated from:2509a397e0. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK142
linux-devel-x86_64OK173
source / vignettesOK202
linux-release-arm64OK140
linux-release-x86_64OK160
wasm-releaseOK123

Exports:hyperplaneoja1sampleTestojaCsampleTestojaMedianojaMedianControlojaMedianEvoojaMedianExojaMedianExBojaMedianFnojaMedianGridojaRankojaRCMojaSCMojaSignojaSignedRank

Dependencies:DBIICSICSNPlatticeMatrixminqamitoolsmvtnormnumDerivRcppRcppArmadillosurveysurvival