memuse: Memory Estimation Utilities

How much ram do you need to store a 100,000 by 100,000 matrix? How much ram is your current R session using? How much ram do you even have? Learn the scintillating answer to these and many more such questions with the 'memuse' package.

Version: 4.2-3
Depends: R (≥ 3.0.0)
Imports: methods, utils
Published: 2023-01-24
Author: Drew Schmidt [aut, cre], Christian Heckendorf [ctb] (FreeBSD improvements to meminfo), Wei-Chen Chen [ctb] (Windows build fixes), Dan Burgess [ctb] (donation of a Mac for development and testing)
Maintainer: Drew Schmidt <wrathematics at gmail.com>
BugReports: https://github.com/shinra-dev/memuse/issues
License: BSD 2-clause License + file LICENSE
URL: https://github.com/shinra-dev/memuse
NeedsCompilation: yes
Citation: memuse citation info
Materials: README ChangeLog
CRAN checks: memuse results

Documentation:

Reference manual: memuse.pdf
Vignettes: memuse-guide

Downloads:

Package source: memuse_4.2-3.tar.gz
Windows binaries: r-devel: memuse_4.2-3.zip, r-release: memuse_4.2-3.zip, r-oldrel: memuse_4.2-3.zip
macOS binaries: r-release (arm64): memuse_4.2-3.tgz, r-oldrel (arm64): memuse_4.2-3.tgz, r-release (x86_64): memuse_4.2-3.tgz
Old sources: memuse archive

Reverse dependencies:

Reverse imports: antaresEditObject, antaresRead, ebvcube, jmatrix, mlim, opdisDownsampling, parallelpam, scellpam, steps, vcfR
Reverse suggests: bigstatsr, coop, fastreeR

Linking:

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