bigstatsr: Statistical Tools for Filebacked Big Matrices (original) (raw)
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: | 1.6.1 |
|---|---|
| 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: | 2024-09-09 |
| DOI: | 10.32614/CRAN.package.bigstatsr |
| 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:
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