Package: kendallknight 0.4.0
Mauricio Vargas Sepulveda
kendallknight: Efficient Implementation of Kendall's Correlation Coefficient Computation
The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger vectors, the speed difference can be substantial and the numerical difference is minimal. The references are Knight (1966) <doi:10.2307/2282833>, Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005) <doi:10.1007/BF02736122> and Emara (2024) <https://learningcpp.org/>. This implementation is described in Vargas Sepulveda (2024) <doi:10.48550/arXiv.2408.09618>.
Authors:
kendallknight_0.4.0.tar.gz
kendallknight_0.4.0.tar.gz(r-4.5-noble)kendallknight_0.4.0.tar.gz(r-4.4-noble)
kendallknight_0.4.0.tgz(r-4.4-emscripten)kendallknight_0.4.0.tgz(r-4.3-emscripten)
kendallknight.pdf |kendallknight.html✨
kendallknight/json (API)
NEWS
| # Install 'kendallknight' in R: |
| install.packages('kendallknight', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pachadotdev/capybara/issues
Pkgdown site:https://pacha.dev
- cigarettes - Life expectancy and cigarettes per day
Last updated 1 months agofrom:158a20eee7. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 25 2024 |
| R-4.5-linux-x86_64 | OK | Dec 25 2024 |
Exports:kendall_corkendall_cor_test
Dependencies:cpp11
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| kendallknight: Efficient Implementation of Kendall's Correlation Coefficient Computation | kendallknight-package kendallknight |
| Life expectancy and cigarettes per day | cigarettes |
| Kendall Correlation | kendall_cor |
| Kendall Correlation Test | kendall_cor_test |
