bigstatsr: Statistical Tools for Filebacked Big Matrices

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 <doi:10.1093/bioinformatics/bty185>.

Version: 0.6.2
Depends: R (≥ 3.3.0)
Imports: bigreadr (≥ 0.1.3), cowplot, doParallel, foreach, ggplot2 (≥ 3.0.0), graphics, methods, parallel, Rcpp, RSpectra, stats, utils
LinkingTo: BH, Rcpp, RcppArmadillo
Suggests: biglasso, bigmemory (≥ 4.5.33), covr, glmnet, grid, ModelMetrics, RcppEigen, RhpcBLASctl, spelling (≥ 1.2), testthat
Published: 2018-08-17
Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21 at>
License: GPL-3
NeedsCompilation: yes
Language: en-US
Citation: bigstatsr citation info
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: bigstatsr results


Reference manual: bigstatsr.pdf
Package source: bigstatsr_0.6.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: bigstatsr_0.6.2.tgz, r-oldrel: bigstatsr_0.6.2.tgz
Old sources: bigstatsr archive


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