Package: RKUM 0.1.1.1
RKUM: Robust Kernel Unsupervised Methods
Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence function of identifying significant outliers or atypical objects from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018) <doi:10.1016/j.neucom.2018.04.008>. Alam, M. A, Calhoun, C. D., Wang Y.-P. (2018) <doi:10.1016/j.csda.2018.03.013>.
Authors:
RKUM_0.1.1.1.tar.gz
RKUM_0.1.1.1.zip(r-4.5)RKUM_0.1.1.1.zip(r-4.4)RKUM_0.1.1.1.zip(r-4.3)
RKUM_0.1.1.1.tgz(r-4.4-any)RKUM_0.1.1.1.tgz(r-4.3-any)
RKUM_0.1.1.1.tar.gz(r-4.5-noble)RKUM_0.1.1.1.tar.gz(r-4.4-noble)
RKUM_0.1.1.1.tgz(r-4.4-emscripten)RKUM_0.1.1.1.tgz(r-4.3-emscripten)
RKUM.pdf |RKUM.html✨
RKUM/json (API)
| # Install 'RKUM' in R: |
| install.packages('RKUM', repos = c('https://maalam79.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 2 years agofrom:2aa1082346. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
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Dependencies:
