articleJournal of Statistical SoftwareJan 1, 2009DIAMOND OA

mixtools : An R Package for Analyzing Finite Mixture Models

Pennsylvania State University · Laboratoire de Mathématiques Analyse, Probabilités, Modélisation Orléans

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Abstract

The mixtools package for R provides a set of functions for analyzing a variety of finite mixture models. These functions include both traditional methods, such as EM algorithms for univariate and multivariate normal mixtures, and newer methods that reflect some recent research in finite mixture models. In the latter category, mixtools provides algorithms for estimating parameters in a wide range of different mixture-of-regression contexts, in multinomial mixtures such as those arising from discretizing continuous multivariate data, in nonparametric situations where the multivariate component densities are completely unspecified, and in semiparametric situations such as a univariate location mixture of…

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Authors

4

Topics & keywords

Keywords
  • Univariate
  • Multivariate statistics
  • R package
  • Code (set theory)
  • Range (aeronautics)
  • Component (thermodynamics)
  • Computer science
  • Discretization
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