Package: CovCombR 1.0
CovCombR: Combine Partial Covariance / Relationship Matrices
Combine partial covariance matrices using a Wishart-EM algorithm. Methods are described in the November 2019 article by Akdemir et al. <https://www.biorxiv.org/content/10.1101/857425v1>. It can be used to combine partially overlapping covariance matrices from independent trials, partially overlapping multi-view relationship data from genomic experiments, partially overlapping Gaussian graphs described by their covariance structures. High dimensional covariance estimation, multi-view data integration. high dimensional covariance graph estimation.
Authors:
CovCombR_1.0.tar.gz
CovCombR_1.0.zip(r-4.5)CovCombR_1.0.zip(r-4.4)CovCombR_1.0.zip(r-4.3)
CovCombR_1.0.tgz(r-4.4-any)CovCombR_1.0.tgz(r-4.3-any)
CovCombR_1.0.tar.gz(r-4.5-noble)CovCombR_1.0.tar.gz(r-4.4-noble)
CovCombR_1.0.tgz(r-4.4-emscripten)CovCombR_1.0.tgz(r-4.3-emscripten)
CovCombR.pdf |CovCombR.html✨
CovCombR/json (API)
| # Install 'CovCombR' in R: |
| install.packages('CovCombR', repos = c('https://denizakdemir.r-universe.dev', 'https://cloud.r-project.org')) |
- BarleyPheno - Phenotype data from 194 phenotype trials
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:c0d3a04e1c. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Dependencies:CholWishartlatticeMatrixnlme
