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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