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Perc: Using Percolation and Conductance to Find Information Flow Certainty in a Direct Network

To find the certainty of dominance interactions with indirect interactions being considered.

Version: 0.1.6
Depends: R (≥ 2.14.0)
Imports: stats, grDevices
Suggests: testthat, knitr, rmarkdown, devtools, reshape2, lattice
Published: 2021-05-11
DOI: 10.32614/CRAN.package.Perc
Author: Kevin Fujii [aut], Jian Jin [aut], Jessica Vandeleest [aut, cre], Aaron Shev [aut], Brianne Beisner [aut], Brenda McCowan [aut, cph], Hsieh Fushing [aut, cph]
Maintainer: Jessica Vandeleest <vandelee at ucdavis.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Fushing Lab & McCowan Lab, University of California, Davis
NeedsCompilation: no
CRAN checks: Perc results

Documentation:

Reference manual: Perc.pdf
Vignettes: Introduction to Perc Package

Downloads:

Package source: Perc_0.1.6.tar.gz
Windows binaries: r-devel: Perc_0.1.6.zip, r-release: Perc_0.1.6.zip, r-oldrel: Perc_0.1.6.zip
macOS binaries: r-release (arm64): Perc_0.1.6.tgz, r-oldrel (arm64): Perc_0.1.6.tgz, r-release (x86_64): Perc_0.1.6.tgz, r-oldrel (x86_64): Perc_0.1.6.tgz
Old sources: Perc archive

Linking:

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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.