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. For further details we refer the reader to the paper Perrot-Dockes and Lévy-Leduc (2018), <arXiv:1806.10093>.
| Version: | 0.1.0 |
| Imports: | Matrix, stats |
| Suggests: | knitr |
| Published: | 2018-07-01 |
| Author: | M. Perrot-Dockès, 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 |
| Reference manual: | BlockCov.pdf |
| Vignettes: |
BlockCov package |
| Package source: | BlockCov_0.1.0.tar.gz |
| Windows binaries: | r-devel: BlockCov_0.1.0.zip, r-release: BlockCov_0.1.0.zip, r-oldrel: BlockCov_0.1.0.zip |
| OS X binaries: | r-release: BlockCov_0.1.0.tgz, r-oldrel: BlockCov_0.1.0.tgz |
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