Package: HighestMedianRules 1.0

HighestMedianRules: Implementation of Voting Rules Electing the Candidate with Highest Median Grade

Computes the scores and ranks candidates according to voting rules electing the highest median grade. Based on "Tie-breaking the highest median: alternatives to the majority judgment", A. Fabre, Social Choice & Welfare (forthcoming as of 2020). The paper is available here: <https://github.com/bixiou/highest_median/raw/master/Tie-breaking%20Highest%20Median%20-%20Fabre%202019.pdf>. Functions to plot the voting profiles can be found on github: <https://github.com/bixiou/highest_median/blob/master/packages_functions_data.R>.

Authors:Adrien Fabre [aut, cre]

HighestMedianRules_1.0.tar.gz
HighestMedianRules_1.0.zip(r-4.7-any)HighestMedianRules_1.0.zip(r-4.6-any)HighestMedianRules_1.0.zip(r-4.5-any)
HighestMedianRules_1.0.tgz(r-4.6-any)HighestMedianRules_1.0.tgz(r-4.5-any)
HighestMedianRules_1.0.tar.gz(r-4.7-any)HighestMedianRules_1.0.tar.gz(r-4.6-any)
HighestMedianRules_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
HighestMedianRules/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 260 downloads 7 exports 2 dependencies

Last updated from:f13a7bd415. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK127
source / vignettesOK127
linux-releaseOK85
macos-releaseOK153
macos-oldrelOK129
windows-develOK48
windows-releaseOK44
windows-oldrelOK49
wasm-releaseOK90

Exports:aggregate_scoreselec2012gaugegaugesrankingrankingsscore

Dependencies:combinatRMallow

Readme and manuals

Help Manual

Help pageTopics
Aggregate scoresaggregate_scores
Example voting profileelec2012
Gaugegauge
Gaugesgauges
Rankingranking
Rankingsrankings
Scorescore