Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more. Preprint: <doi:10.1101/190926>.
| Version: | 0.2.3 |
| Depends: | R (≥ 3.3.2) |
| Imports: | cowplot, doParallel, foreach, ggplot2, glue, graphics, magrittr, Matrix, methods, parallel, Rcpp, RSpectra, stats |
| LinkingTo: | BH, Rcpp, RcppArmadillo |
| Suggests: | spelling, biglasso, bigmemory, covr, glmnet, grid, LiblineaR, ModelMetrics, sparseSVM, testthat, viridis |
| Published: | 2017-11-30 |
| Author: | Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths] |
| Maintainer: | Florian Privé <florian.prive.21 at gmail.com> |
| BugReports: | https://github.com/privefl/bigstatsr/issues |
| License: | GPL-3 |
| URL: | https://privefl.github.io/bigstatsr |
| NeedsCompilation: | yes |
| Citation: | bigstatsr citation info |
| Materials: | README NEWS |
| CRAN checks: | bigstatsr results |
| Reference manual: | bigstatsr.pdf |
| Package source: | bigstatsr_0.2.3.tar.gz |
| Windows binaries: | r-devel: bigstatsr_0.2.3.zip, r-release: bigstatsr_0.2.3.zip, r-oldrel: bigstatsr_0.2.3.zip |
| OS X El Capitan binaries: | r-release: bigstatsr_0.2.3.tgz |
| OS X Mavericks binaries: | r-oldrel: bigstatsr_0.2.3.tgz |
| Old sources: | bigstatsr archive |
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