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

Package details

AuthorEric Kernfeld
MaintainerThe package maintainer <[email protected]>
LicenseGPL-3 | file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ekernf01/MatrixLazyEval")
ekernf01/MatrixLazyEval documentation built on July 3, 2018, 8:03 p.m.