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: 0.9.1
Depends: R (≥ 3.3.0)
Imports: bigreadr (≥ 0.1.3), cowplot, doParallel, foreach, ggplot2 (≥ 3.0.0), graphics, methods, parallel, Rcpp, RSpectra, stats, tibble, utils
LinkingTo: Rcpp, RcppArmadillo, rmio
Suggests: bigalgebra, biglasso, bigmemory (≥ 4.5.33), covr, glmnet, hexbin, microbenchmark, ModelMetrics, RcppEigen, RhpcBLASctl, spelling (≥ 1.2), testthat
Published: 2019-03-03
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
Language: en-US
Citation: bigstatsr citation info
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: bigstatsr results

Downloads:

Reference manual: bigstatsr.pdf
Package source: bigstatsr_0.9.1.tar.gz
Windows binaries: r-devel: bigstatsr_0.9.1.zip, r-release: bigstatsr_0.9.1.zip, r-oldrel: bigstatsr_0.9.1.zip
OS X binaries: r-release: bigstatsr_0.9.1.tgz, r-oldrel: bigstatsr_0.9.1.tgz
Old sources: bigstatsr archive

Reverse dependencies:

Reverse imports: bigdist

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