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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
DOI: 10.32614/CRAN.package.memuse
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, r-oldrel (x86_64): memuse_4.2-3.tgz
Old sources: memuse archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=memuse to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.