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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: 1.5.12
Depends: R (≥ 3.4)
Imports: bigassertr (≥ 0.1.1), bigparallelr (≥ 0.2.3), cowplot, foreach, ggplot2 (≥ 3.0), graphics, methods, ps (≥ 1.4), Rcpp, rmio (≥ 0.4), RSpectra, stats, tibble, utils
LinkingTo: Rcpp, RcppArmadillo, rmio
Suggests: bigmemory (≥ 4.5.33), bigreadr (≥ 0.2), covr, data.table, dplyr, glmnet, hexbin, memuse, ModelMetrics, plotly, ppcor, RhpcBLASctl, spelling (≥ 1.2), testthat
Published: 2022-10-14
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

Documentation:

Reference manual: bigstatsr.pdf

Downloads:

Package source: bigstatsr_1.5.12.tar.gz
Windows binaries: r-devel: bigstatsr_1.5.12.zip, r-release: bigstatsr_1.5.12.zip, r-oldrel: bigstatsr_1.5.12.zip
macOS binaries: r-release (arm64): bigstatsr_1.5.12.tgz, r-oldrel (arm64): bigstatsr_1.5.12.tgz, r-release (x86_64): bigstatsr_1.5.12.tgz, r-oldrel (x86_64): bigstatsr_1.5.12.tgz
Old sources: bigstatsr archive

Reverse dependencies:

Reverse depends: bigsnpr
Reverse imports: Directional, HDBRR, MAGAR, pchc, PRSPGx
Reverse linking to: bigsnpr
Reverse suggests: MOSS, uwot

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bigstatsr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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