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:M. Perrot-Dock\`es, C. Lévy-Leduc

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BlockCov.pdf |BlockCov.html✨
BlockCov/json (API)

# Install 'BlockCov' in R:
install.packages('BlockCov', repos = c('https://marie-perrotdockes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 scripts 192 downloads 7 exports 24 dependencies

Last updated 6 years agofrom:2f1950f496. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:%>%cv_blest_upPASigma_estimationSimu_Sigmaslope_change

Dependencies:backportsBBmisccheckmateclidata.tabledplyrfansigenericsgluelatticelifecyclemagrittrMatrixpillarpkgconfigR6rbibutilsRdpackrlangtibbletidyselectutf8vctrswithr

BlockCov package

Marie Perrot-Dockès, Céline Lévy-Leduc

Rendered fromVignettes.Rmdusingknitr::knitron Nov 08 2024.

Last update: 2019-04-13
Started: 2018-07-01