r-irlba

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Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.

Copied fromcf-post-staging / r-irlba

Versions

Installation

To install this package, run one of the following:

Conda

$conda install conda-forge::r-irlba

Usage Tracking

Version

5 / 8 versions selected

Downloads (Last 6 months): 0

About

Summary

Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.

Last Updated

Oct 12, 2022 at 05:29

License

GPL-3.0-only

Total Downloads

1.0M

Supported Platforms

macOS-64

macOS-arm64

win-64

linux-aarch64

linux-64

linux-ppc64le

Home

https://CRAN.R-project.org/package=irlba

GitHub Repository

https://github.com/bwlewis/irlba