Package: TauStar 1.1.7

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_1.1.7.tar.gz
TauStar_1.1.7.tar.gz(r-4.5-noble)TauStar_1.1.7.tar.gz(r-4.4-noble)
TauStar_1.1.7.tgz(r-4.4-emscripten)TauStar_1.1.7.tgz(r-4.3-emscripten)
TauStar.pdf |TauStar.html
TauStar/json (API)
NEWS

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

Peer review:

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

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

openblascpp

2.00 score 2 stars 38 scripts 44 downloads 15 exports 2 dependencies

Last updated 12 days agofrom:5e05707b25. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-linux-x86_64OKDec 12 2024

Exports:dDisHoeffInddHoeffInddMixHoeffIndeigenForDiscreteProbspDisHoeffIndpHoeffIndpMixHoeffIndqDisHoeffIndqHoeffIndqMixHoeffIndrDisHoeffIndrHoeffIndrMixHoeffIndtauStarTesttStar

Dependencies:RcppRcppArmadillo