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  "Title": "Model-Based Clustering for Multivariate Partial Ranking Data",
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  "Description": "Implementation of a model-based clustering algorithm for\nranking data (C. Biernacki, J. Jacques (2013)\n<doi:10.1016/j.csda.2012.08.008>). Multivariate rankings as\nwell as partial rankings are taken into account. This algorithm\nis based on an extension of the Insertion Sorting Rank (ISR)\nmodel for ranking data, which is a meaningful and effective\nmodel parametrized by a position parameter (the modal ranking,\nquoted by mu) and a dispersion parameter (quoted by pi). The\nheterogeneity of the rank population is modelled by a mixture\nof ISR, whereas conditional independence assumption is\nconsidered for multivariate rankings.",
  "License": "GPL (>= 2)",
  "Copyright": "Inria - Université de Lille",
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