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CRAN: Package BlockCov

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) <doi:10.48550/arXiv.1806.10093>.

Version: 0.1.1 Imports: Matrix, stats, Rdpack, BBmisc, dplyr, tibble, magrittr, rlang Suggests: knitr Published: 2019-04-13 DOI: 10.32614/CRAN.package.BlockCov Author: M. Perrot-Dock\`es, C. Lévy-Leduc Maintainer: Marie Perrot-Dockès <marie.perrocks at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no CRAN checks: BlockCov results Documentation: Reference manual: BlockCov.pdf Vignettes: BlockCov package (source, R code)
Downloads: Package source: BlockCov_0.1.1.tar.gz Windows binaries: r-devel: BlockCov_0.1.1.zip, r-release: BlockCov_0.1.1.zip, r-oldrel: BlockCov_0.1.1.zip macOS binaries: r-release (arm64): BlockCov_0.1.1.tgz, r-oldrel (arm64): BlockCov_0.1.1.tgz, r-release (x86_64): BlockCov_0.1.1.tgz, r-oldrel (x86_64): BlockCov_0.1.1.tgz Old sources: BlockCov archive Linking:

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