Package: COR 0.1.0
COR: The COR for Optimal Subset Selection in Distributed Estimation
An algorithm of optimal subset selection, related to Covariance matrices, Observation matrices and Response vectors (COR) to select the optimal subsets in distributed estimation. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Authors:
COR_0.1.0.tar.gz
COR_0.1.0.zip(r-4.5)COR_0.1.0.zip(r-4.4)COR_0.1.0.zip(r-4.3)
COR_0.1.0.tgz(r-4.4-any)COR_0.1.0.tgz(r-4.3-any)
COR_0.1.0.tar.gz(r-4.5-noble)COR_0.1.0.tar.gz(r-4.4-noble)
COR_0.1.0.tgz(r-4.4-emscripten)COR_0.1.0.tgz(r-4.3-emscripten)
COR.pdf |COR.html✨
COR/json (API)
| # Install 'COR' in R: |
| install.packages('COR', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
- communities - The communities and crime data set
- ethylene_CO - The chemical sensor data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 hours agofrom:cf1ec7f0f0. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:beta_ADbeta_corbeta_LWCORLICbetaLICnewMSEbetaMSEcomMSEver
Dependencies:
