Package: SIT 0.1.1
Canyi Chen
SIT: Association Measurement Through Sliced Independence Test (SIT)
Computes the sit coefficient between two vectors x and y, possibly all paired coefficients for a matrix. The reference for the methods implemented here is Zhang, Yilin, Canyi Chen, and Liping Zhu. 2022. "Sliced Independence Test." Statistica Sinica. <doi:10.5705/ss.202021.0203>. This package incorporates the Galton peas example.
Authors:
SIT_0.1.1.tar.gz
SIT_0.1.1.tar.gz(r-4.5-noble)SIT_0.1.1.tar.gz(r-4.4-noble)
SIT_0.1.1.tgz(r-4.4-emscripten)SIT_0.1.1.tgz(r-4.3-emscripten)
SIT.pdf |SIT.html✨
SIT/json (API)
NEWS
| # Install 'SIT' in R: |
| install.packages('SIT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/canyi-chen/sit/issues
Last updated 7 days agofrom:80d924cf61. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-linux-x86_64 | OK | Oct 17 2024 |
Exports:blocksumcalculateSITsitcor
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the block-wise sum of a vector. | blocksum |
| Compute the cross rank coefficient sit on two vectors. | calculateSIT sitcorcoefficient |
| Conduct the sliced independence test. | sit sitcor |
