Package: kerDAA 0.1.1
Hoseung Song
kerDAA: New Kernel-Based Test for Differential Association Analysis
A new practical method to evaluate whether relationships between two sets of high-dimensional variables are different or not across two conditions. Song, H. and Wu, M.C. (2023) <arxiv:2307.15268>.
Authors:
kerDAA_0.1.1.tar.gz
kerDAA_0.1.1.tar.gz(r-4.7-any)kerDAA_0.1.1.tar.gz(r-4.6-any)
kerDAA_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kerDAA/json (API)
| # Install 'kerDAA' in R: |
| install.packages('kerDAA', 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 from:09f1bca544. Checks:2 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 93 | ||
| source / vignettes | OK | 192 | ||
| linux-release-x86_64 | NOTE | 127 | ||
| wasm-release | OK | 96 |
Exports:kerdaa
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| New kernel-based test for differential association analysis | kerdaa |
| New kernel-based test for differential association analysis | kerDAA-package |