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>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: MSmix citation info
Materials: NEWS
CRAN checks: MSmix results


Reference manual: MSmix.pdf


Package source: MSmix_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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