 
  
 
   
   This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see BiocSingular.
Bioconductor version: 3.13
Implements exact and approximate methods for singular value decomposition and principal components analysis, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Where possible, parallelization is achieved using the BiocParallel framework.
Author: Aaron Lun [aut, cre, cph]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>
Citation (from within R,
      enter citation("BiocSingular")):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("BiocSingular")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BiocSingular")
    
| HTML | R Script | 1. SVD and PCA | 
| HTML | R Script | 2. Matrix classes | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | DimensionReduction, PrincipalComponent, Software | 
| Version | 1.8.1 | 
| In Bioconductor since | BioC 3.9 (R-3.6) (2.5 years) | 
| License | GPL-3 | 
| Depends | |
| Imports | BiocGenerics, S4Vectors, Matrix, methods, utils, DelayedArray, BiocParallel, ScaledMatrix, irlba, rsvd, Rcpp, beachmat | 
| LinkingTo | Rcpp, beachmat | 
| Suggests | testthat, BiocStyle, knitr, rmarkdown, ResidualMatrix | 
| SystemRequirements | C++11 | 
| Enhances | |
| URL | https://github.com/LTLA/BiocSingular | 
| BugReports | https://github.com/LTLA/BiocSingular/issues | 
| Depends On Me | compartmap | 
| Imports Me | batchelor, BayesSpace, clusterExperiment, GSVA, miloR, mumosa, NewWave, PCAtools, scater, scDblFinder, scMerge, scran, scry, SingleR, velociraptor | 
| Suggests Me | HCAData, ResidualMatrix, ScaledMatrix, splatter | 
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | BiocSingular_1.8.1.tar.gz | 
| Windows Binary | BiocSingular_1.8.1.zip (32- & 64-bit) | 
| macOS 10.13 (High Sierra) | BiocSingular_1.8.1.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/BiocSingular | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BiocSingular | 
| Package Short Url | https://bioconductor.org/packages/BiocSingular/ | 
| Package Downloads Report | Download Stats | 
 
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