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http://bura.brunel.ac.uk/handle/2438/10567
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DC Field | Value | Language |
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dc.contributor.author | Liverani, S | - |
dc.contributor.author | Hastie, DI | - |
dc.contributor.author | Azizi, L | - |
dc.contributor.author | Papathomas, M | - |
dc.contributor.author | Richardson, S | - |
dc.date.accessioned | 2015-04-16T11:19:52Z | - |
dc.date.available | 2015-03-01 | - |
dc.date.available | 2015-04-16T11:19:52Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Journal of Statistical Software, 2015, 64 (7), pp. 1 - 30 | en_US |
dc.identifier.issn | 1548-7660 | - |
dc.identifier.uri | http://www.jstatsoft.org/v64/i07 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/10567 | - |
dc.description.abstract | PReMiuM is a recently developed R package for Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, nonparametrically linking a response vector to covariate data through cluster membership (Molitor, Papathomas, Jerrett, and Richardson 2010). The package allows binary, categorical, count and continuous response, as well as continuous and discrete covariates. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. | en_US |
dc.format.extent | 1 - 30 | - |
dc.format.extent | 1 - 30 | - |
dc.language | eng | - |
dc.language.iso | en | en_US |
dc.publisher | American Statistical Association | en_US |
dc.subject | Clustering | en_US |
dc.subject | Dirichlet process mixture model | en_US |
dc.subject | Profile regression | en_US |
dc.title | Premium: An R package for profile regression mixture models using dirichlet processes | en_US |
dc.type | Article | en_US |
dc.relation.isPartOf | Journal of Statistical Software | - |
dc.relation.isPartOf | Journal of Statistical Software | - |
pubs.issue | 7 | - |
pubs.issue | 7 | - |
pubs.volume | 64 | - |
pubs.volume | 64 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mathematics | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mathematics/Mathematical Sciences | - |
Appears in Collections: | Dept of Mathematics Research Papers |
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Fulltext.pdf | 613.6 kB | Adobe PDF | View/Open |
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