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Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
profdpm: An R Package for MAP Estimation in a Class of Conjugate Product Partition Models | Shotwell | Journal of Statistical Software
Authors: Matthew S. Shotwell
Title: profdpm: An R Package for MAP Estimation in a Class of Conjugate Product Partition Models
Abstract: The profdpm package facilitates inference at the posterior mode for a class of product partition models. Dirichlet process mixtures are currently the only available class members. Several methods are implemented to search for the maximum posterior estimate of the data partition. This article discusses the relevant theory, the R and underlying C implementation, and examples of high level functionality.

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Paper: profdpm: An R Package for MAP Estimation in a Class of Conjugate Product Partition Models     Download PDF (Downloads: 1691)
Supplements:
profdpm_3.3.tar.gz: R source package Download (Downloads: 362; 392KB)
v53i08.R: R example code from the paper Download (Downloads: 388; 3KB)

DOI: 10.18637/jss.v053.i08

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.