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: |
1.5.6 |
| Depends: |
R (≥ 3.3) |
| Imports: |
bigassertr (≥ 0.1.1), bigparallelr (≥ 0.2.3), cowplot, foreach, ggplot2 (≥ 3.0), graphics, methods, ps (≥ 1.4), Rcpp, RSpectra, stats, tibble, utils |
| LinkingTo: |
Rcpp, RcppArmadillo, rmio (≥ 0.1.3) |
| Suggests: |
bigmemory (≥ 4.5.33), bigreadr (≥ 0.2), covr, data.table, dplyr, glmnet, hexbin, memuse, ModelMetrics, ppcor, RhpcBLASctl, spelling (≥ 1.2), testthat |
| Published: |
2022-02-03 |
| 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 |