ekernf01/MatrixLazyEval: Lazy evaluation for cheap storage and fast operations with sparse matrices
MatrixLazyEval lets you perform operations cheaply with large sparse matrices. For example, you can subtract the mean (or predictions from an OLS regression) from each row or column without explicitly storing the resulting (dense) matrix. You can go on to compute e.g. an SVD of the result.
Getting started
Browse package contents
Package details |
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| Author | Eric Kernfeld |
| Maintainer | The package maintainer <eric.kern13@gmail.com> |
| License | GPL-3 | file LICENSE |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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