bayesclust: An R Package for Testing and Searching for Significant Clusters Public Deposited

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  • The detection and determination of clusters has been of special interest among re- searchers from different fields for a long time. In particular, assessing whether the clusters are significant is a question that has been asked by a number of experimenters. In Fuentes and Casella (2009), the authors put forth a new methodology for analyzing clusters. It tests the hypothesis H₀ : = 1 versus H₁ : = k in a Bayesian setting, where denotes the number of clusters in a population. The bayesclust package implements this approach in R. Here we give an overview of the algorithm and a detailed description of the functions available in the package. The routines in bayesclust allow the user to test for the exis- tence of clusters, and then pick out optimal partitionings of the data. We demonstrate the testing procedure with simulated datasets.
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  • Gopal, V., Fuentes, C., & Casella, G. (2012). Bayesclust: An R package for testing and searching for significant clusters. Journal of Statistical Software, 47(14), 1-21.
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  • description.provenance : Approved for entry into archive by Deborah Campbell(deborah.campbell@oregonstate.edu) on 2013-09-30T15:24:11Z (GMT) No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) FuentesClaudioStatisticsBayesclustRPackage.pdf: 273781 bytes, checksum: a2521fe7bcb7f9e63c8e13cd198a5240 (MD5)
  • description.provenance : Submitted by Deborah Campbell (deborah.campbell@oregonstate.edu) on 2013-09-25T21:29:47Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) FuentesClaudioStatisticsBayesclustRPackage.pdf: 273781 bytes, checksum: a2521fe7bcb7f9e63c8e13cd198a5240 (MD5)
  • description.provenance : Made available in DSpace on 2013-09-30T15:24:11Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) FuentesClaudioStatisticsBayesclustRPackage.pdf: 273781 bytes, checksum: a2521fe7bcb7f9e63c8e13cd198a5240 (MD5) Previous issue date: 2012-05

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