MSmix: Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings

Fit and analysis of finite Mixtures of Mallows models with Spearman Distance for full and partial rankings with arbitrary missing positions. Inference is conducted within the maximum likelihood framework via Expectation-Maximization algorithms. Estimation uncertainty is tackled via diverse versions of bootstrapping as well as via Hessian-based standard errors calculations. The most relevant reference of the methods is Crispino, Mollica, Astuti and Tardella (2023) <doi:10.1007/s11222-023-10266-8>.

Version: 1.0.1
Depends: R (≥ 4.3.0)
Imports: BayesMallows (≥ 2.0.1), bmixture (≥ 1.7.0), data.table (≥ 1.15.0), dplyr (≥ 1.1.4), factoextra (≥ 1.0.7), fields (≥ 15.2.0), foreach (≥ 1.5.2), ggbump (≥ 0.1.0), ggplot2 (≥ 3.4.4), gmp (≥ 0.7.4), gridExtra (≥ 2.3.0), methods (≥ 4.3.1), Rankcluster (≥ 0.98.0), RColorBrewer (≥ 1.1.3), Rcpp (≥ 1.0.12), reshape (≥ 0.8.9), rlang (≥ 1.1.3), spsUtil (≥ 0.2.2), stats (≥ 4.3.1), stringr (≥ 1.5.1)
LinkingTo: Rcpp
Suggests: doParallel
Published: 2024-04-09
Author: Cristina Mollica ORCID iD [aut, cre, cph], Marta Crispino ORCID iD [aut, cph], Lucia Modugno ORCID iD [ctb], Luca Tardella ORCID iD [ctb]
Maintainer: Cristina Mollica <cristina.mollica at uniroma1.it>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: MSmix citation info
Materials: NEWS
CRAN checks: MSmix results

Documentation:

Reference manual: MSmix.pdf

Downloads:

Package source: MSmix_1.0.1.tar.gz
Windows binaries: r-devel: MSmix_1.0.1.zip, r-release: MSmix_1.0.1.zip, r-oldrel: MSmix_1.0.1.zip
macOS binaries: r-release (arm64): MSmix_1.0.1.tgz, r-oldrel (arm64): MSmix_1.0.1.tgz, r-release (x86_64): MSmix_1.0.1.tgz, r-oldrel (x86_64): MSmix_1.0.1.tgz
Old sources: MSmix archive

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