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.
| Version: | 0.1.0 |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | ggplot2, psychTools |
| Published: | 2022-12-20 |
| Author: | Canyi Chen  [aut,
cre] |
| Maintainer: | Canyi Chen <chency1997 at ruc.edu.cn> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Citation: | SIT citation info |
| CRAN checks: | SIT results |
Documentation:
| Reference manual: | SIT.pdf |
Downloads:
| Package source: | SIT_0.1.0.tar.gz |
| Windows binaries: | r-devel: SIT_0.1.0.zip, r-release: SIT_0.1.0.zip, r-oldrel: SIT_0.1.0.zip |
| macOS binaries: | r-release (arm64): SIT_0.1.0.tgz, r-oldrel (arm64): SIT_0.1.0.tgz, r-release (x86_64): SIT_0.1.0.tgz, r-oldrel (x86_64): SIT_0.1.0.tgz |
Linking:
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