Package: RMallow 1.2.0

RMallow: Fit Multi-Modal Mallows' Models to Ranking Data

An EM algorithm to fit Mallows' mixture models to full or partial rankings, with or without ties. The Mallows model is a distance-based probability model over rankings, where probability decreases exponentially with distance from a central (modal) ranking. This package implements mixture models to handle multi-modal ranking data, as described in Murphy and Martin (2003) <doi:10.1016/S0167-9473(02)00165-2> and Adkins and Fligner (1998) <doi:10.1080/03610929808832223>.

Authors:Erik Gregory [aut, cre]

RMallow_1.2.0.tar.gz
RMallow_1.2.0.zip(r-4.7-x86_64)RMallow_1.2.0.zip(r-4.7-arm64)RMallow_1.2.0.zip(r-4.6-x86_64)RMallow_1.2.0.zip(r-4.6-arm64)RMallow_1.2.0.zip(r-4.5-x86_64)
RMallow_1.2.0.tgz(r-4.6-x86_64)RMallow_1.2.0.tgz(r-4.6-arm64)RMallow_1.2.0.tgz(r-4.5-x86_64)RMallow_1.2.0.tgz(r-4.5-arm64)
RMallow_1.2.0.tar.gz(r-4.7-arm64)RMallow_1.2.0.tar.gz(r-4.7-x86_64)RMallow_1.2.0.tar.gz(r-4.6-arm64)RMallow_1.2.0.tar.gz(r-4.6-x86_64)
RMallow_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RMallow/json (API)

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

Bug tracker:https://github.com/erikgregory/rmallow/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • datas - Sample synthetic data set
  • elect - 1980 APA Presidential Candidate Ranking Data
  • three.mode - Three-mode Mallows model fit to synthetic data
  • two.mode - Two-mode Mallows model fit to synthetic data
  • two.seq - Two-mode Mallows model fit to APA election data

On CRAN:

Conda:

cpp

2.86 score 1 packages 12 scripts 261 downloads 1 mentions 19 exports 2 dependencies

Last updated from:4db25ce8e2. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE93
linux-devel-x86_64NOTE126
source / vignettesOK159
linux-release-arm64NOTE90
linux-release-x86_64NOTE115
macos-release-arm64NOTE110
macos-release-x86_64NOTE362
macos-oldrel-arm64NOTE102
macos-oldrel-x86_64NOTE298
windows-devel-arm64NOTE349
windows-devel-x86_64NOTE107
windows-release-arm64NOTE318
windows-release-x86_64NOTE86
windows-oldrel-x86_64NOTE90
wasm-releaseOK88

Exports:AllKendallAllSeqDistsBestFitC_lamConstructSeqsDistanceDistributionEStepFormatOutKendallInfoLambdaLikelihoodMallowsNextTableRgenSeqDistributionSimplifySequencesUpdateLambdaUpdatePUpdateR

Dependencies:combinatRcpp