Package: USP 0.1.2
Thomas B. Berrett
USP: U-Statistic Permutation Tests of Independence for all Data Types
Implements various independence tests for discrete, continuous, and infinite-dimensional data. The tests are based on a U-statistic permutation test, the USP of Berrett, Kontoyiannis and Samworth (2020) <arxiv:2001.05513>, and shown to be minimax rate optimal in a wide range of settings. As the permutation principle is used, all tests have exact, non-asymptotic Type I error control at the nominal level.
Authors:
USP_0.1.2.tar.gz
USP_0.1.2.tar.gz(r-4.5-noble)USP_0.1.2.tar.gz(r-4.4-noble)
USP_0.1.2.tgz(r-4.4-emscripten)USP_0.1.2.tgz(r-4.3-emscripten)
USP.pdf |USP.html✨
USP/json (API)
| # Install 'USP' in R: |
| install.packages('USP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:52cff1e3b9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 11 2024 |
| R-4.5-linux | OK | Oct 11 2024 |
Exports:coeffsDiscStatFourierBasisFourierKernelInfKernKernStatsumbasisUSPUSP.testUSPFourierUSPFourierAdaptUSPFunctional
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate coefficients of a function's series expansion | coeffs |
| Test statistic for dependence in contingency table | DiscStat |
| Fourier basis functions | FourierBasis |
| Kernel matrix for Fourier basis | FourierKernel |
| Kernel for infinite-dimensional example | InfKern |
| Test statistic calculated from two kernel matrices | KernStat |
| Kernel entries in infinite dimensional case | sumbasis |
| Permutation test of independence. | USP |
| Independence test for discrete data | USP.test |
| Independence test for continuous data | USPFourier |
| Adaptive permutation test of independence for continuous data. | USPFourierAdapt |
| Independence test for functional data | USPFunctional |