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)
- Version1.0.2
- R version≥ 4.3.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- MSmix citation info
- Last release06/15/2024
Documentation
Team
Cristina Mollica
Marta Crispino
Lucia Modugno
Luca Tardella
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- Depends2 packages
- Imports18 packages
- Suggests1 package
- Linking To1 package