Package: TauStar 1.1.9

Julian D. Karch

TauStar: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance

Computes the t* statistic corresponding to the tau* population coefficient introduced by Bergsma and Dassios (2014) <doi:10.3150/13-BEJ514> and does so in O(n^2) time following the algorithm of Heller and Heller (2016) <doi:10.48550/arXiv.1605.08732> building off of the work of Weihs, Drton, and Leung (2016) <doi:10.1007/s00180-015-0639-x>. Also allows for independence testing using the asymptotic distribution of t* as described by Nandy, Weihs, and Drton (2016) <doi:10.1214/16-EJS1166>.

Authors:Luca Weihs [aut], Emin Martinian [ctb], Julian D. Karch [cre]

TauStar_1.1.9.tar.gz
TauStar_1.1.9.tar.gz(r-4.7-arm64)TauStar_1.1.9.tar.gz(r-4.7-x86_64)TauStar_1.1.9.tar.gz(r-4.6-arm64)TauStar_1.1.9.tar.gz(r-4.6-x86_64)
TauStar_1.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
TauStar/json (API)
NEWS

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

Bug tracker:https://github.com/karchjd/taustar/issues

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

On CRAN:

Conda:

openblascpp

2.90 score 2 stars 40 scripts 139 downloads 15 exports 2 dependencies

Last updated from:91b6068d24. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK336
linux-devel-x86_64OK234
source / vignettesOK181
linux-release-arm64OK358
linux-release-x86_64OK243
wasm-releaseOK129

Exports:dDisHoeffInddHoeffInddMixHoeffIndeigenForDiscreteProbspDisHoeffIndpHoeffIndpMixHoeffIndqDisHoeffIndqHoeffIndqMixHoeffIndrDisHoeffIndrHoeffIndrMixHoeffIndtauStarTesttStar

Dependencies:RcppRcppArmadillo