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_0.1.6.tgz(r-4.6-any)Perc_0.1.6.tgz(r-4.5-any)
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Perc_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

sampleEdgelist - SampleEdgelist. social interactions among 11 monkeys
sampleRawMatrix - SampleRawMatrix. dominance interactions between 39 monkeys
sampleWeightedEdgelist - SampleWeightedEdgelist. dominance interactions among 29 monkeys

On CRAN:

5.93 score 43 scripts 305 downloads 13 mentions 13 exports 0 dependencies

Last updated from:239c3f6555. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	144
source / vignettes	OK	206
linux-release	OK	136
macos-release	OK	105
macos-oldrel	OK	99
windows-devel	OK	82
windows-release	OK	92
windows-oldrel	OK	106
wasm-release	OK	90

Exports:as.conflictmat bradleyTerry bt.test conductance countPaths dyadicLongConverter findAllPaths findIDpaths individualDomProb plotConfmat simRankOrder transitivity valueConverter

Dependencies:

Introduction to Perc Package

Rendered fromPerc.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
convert to a matrix of 'conf.mat' class	as.conflictmat
Computes the MLE for the BT model using an MM algorithm	bradleyTerry
Systemic test for the assumptions of the Bradley-Terry model	bt.test
compute win-loss probabilities	conductance
count paths between all pairs	countPaths
dyadic long format converter	dyadicLongConverter
Identifies all paths between all pairs of less than or equal to a certain length	findAllPaths
find all paths of a certain length for an individual	findIDpaths
Associate each costs with its corresponding simulated annealing runs	getAllCosts
assign IDs to all best rank orders	getAllRankOrder
assign IDs to the best rank order	getBestRankOrder
get useful outputs from simulated annealing processes	getSimOutput
individual-level probability converter	individualDomProb
Perc.	Perc
generate heat map for a matrix	plotConfmat
Diagnosis Plot 'plotProbDiagnosis' generate heat map for dominance probability matrix	plotProbDiagnosis
sampleEdgelist. social interactions among 11 monkeys	sampleEdgelist
sampleRawMatrix. dominance interactions between 39 monkeys	sampleRawMatrix
sampleWeightedEdgelist. dominance interactions among 29 monkeys	sampleWeightedEdgelist
Find rank order using simulated annealing	simRankOrder
calculate transitivity measurements for a matrix	transitivity
win-loss probability matrix value converter	valueConverter