Package: BlockCov 0.1.1
BlockCov: Estimation of Large Block Covariance Matrices
Computation of large covariance matrices having a block structure up to a permutation of their columns and rows from a small number of samples with respect to the dimension of the matrix. The method is described in the paper Perrot-Dockès et al. (2019) <arxiv:1806.10093>.
Authors:
BlockCov_0.1.1.tar.gz
BlockCov_0.1.1.zip(r-4.7-any)BlockCov_0.1.1.zip(r-4.6-any)BlockCov_0.1.1.zip(r-4.5-any)
BlockCov_0.1.1.tgz(r-4.6-any)BlockCov_0.1.1.tgz(r-4.5-any)
BlockCov_0.1.1.tar.gz(r-4.7-any)BlockCov_0.1.1.tar.gz(r-4.6-any)
BlockCov_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BlockCov/json (API)
| # Install 'BlockCov' in R: |
| install.packages('BlockCov', repos = c('https://marie-perrotdockes.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:2f1950f496. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 125 | ||
| source / vignettes | OK | 196 | ||
| linux-release | OK | 121 | ||
| macos-release | OK | 162 | ||
| macos-oldrel | OK | 226 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 84 | ||
| windows-oldrel | OK | 77 | ||
| wasm-release | OK | 98 |
Exports:%>%cv_blest_upPASigma_estimationSimu_Sigmaslope_change
Dependencies:backportsBBmisccheckmateclidata.tabledplyrgenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6rbibutilsRdpackrlangtibbletidyselectutf8vctrswithr