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: | 4.2-1 |
Depends: | R (≥ 3.0.0) |
Imports: | methods, utils |
Published: | 2021-10-20 |
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 |
Reference manual: | memuse.pdf |
Vignettes: |
Guide to the memuse Package |
Package source: | memuse_4.2-1.tar.gz |
Windows binaries: | r-devel: memuse_4.2-1.zip, r-release: memuse_4.2-1.zip, r-oldrel: memuse_4.2-1.zip |
macOS binaries: | r-release (arm64): memuse_4.2-1.tgz, r-oldrel (arm64): memuse_4.2-1.tgz, r-release (x86_64): memuse_4.2-1.tgz, r-oldrel (x86_64): memuse_4.2-1.tgz |
Old sources: | memuse archive |
Reverse imports: | mlim, opdisDownsampling, steps, vcfR |
Reverse suggests: | bigstatsr, coop, fastreeR |
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