Package: Perc 0.1.6

Jessica Vandeleest

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.

Authors:Kevin Fujii [aut], Jian Jin [aut], Jessica Vandeleest [aut, cre], Aaron Shev [aut], Brianne Beisner [aut], Brenda McCowan [aut, cph], Hsieh Fushing [aut, cph]

Perc_0.1.6.tar.gz
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Perc.pdf |Perc.html✨
Perc/json (API)

# Install 'Perc' in R:
install.packages('Perc', repos = c('https://hanettools.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hanettools/perc/issues

Datasets:

On CRAN:

Conda:

5.88 score 38 scripts 274 downloads 13 mentions 13 exports 0 dependencies

Last updated 4 years agofrom:239c3f6555. Checks:8 OK, 1 FAILURE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-winOKMar 04 2025
R-4.5-macFAILUREMar 04 2025
R-4.5-linuxOKMar 04 2025
R-4.4-winOKMar 04 2025
R-4.4-macOKMar 04 2025
R-4.4-linuxOKMar 04 2025
R-4.3-winOKMar 04 2025
R-4.3-macOKMar 04 2025

Exports:as.conflictmatbradleyTerrybt.testconductancecountPathsdyadicLongConverterfindAllPathsfindIDpathsindividualDomProbplotConfmatsimRankOrdertransitivityvalueConverter

Dependencies:

Introduction to Perc Package

Fushing Lab & McCowan Lab, University of California, Davis

Rendered fromPerc.Rmdusingknitr::rmarkdownon Mar 04 2025.

Last update: 2020-04-27
Started: 2015-08-04