profdpm: Profile Dirichlet Process Mixtures
Version 3.3

This package facilitates profile inference (inference at the posterior mode) for a class of product partition models (PPM). The Dirichlet process mixture is currently the only available member of this class. These methods search for the maximum posterior (MAP) estimate for the data partition in a PPM.

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AuthorMatt Shotwell
Date of publication2013-05-25 07:09:56
MaintainerMatt Shotwell <matt.shotwell@vanderbilt.edu>
LicenseGPL (>= 2)
Version3.3
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("profdpm")

Man pages

pci: Partition Comparison Indices
profBinary: Binary Product Partition Models
profdpm: Profile Inference for Dirichlet Process Mixtures and Other...
profLinear: Linear Product Partition Models
summary.profBinary: Summarize objects of class 'profBinary'.
summary.profLinear: Summarize objects of class 'profLinear'.

Functions

pci Man page Source code
profBinary Man page Source code
profLinear Man page Source code
profdpm-package Man page
summary.profBinary Man page Source code
summary.profLinear Man page Source code

Files

MD5
vignettes
vignettes/profdpm.bib
vignettes/profdpm.Rnw
src
src/util.c
src/profdpm.h
src/profLinear.c
src/profBinary.c
src/pdpmlm.c
src/pdpmbm.c
src/pci.c
src/methods.c
src/Makevars
man
man/summary.profLinear.Rd
man/summary.profBinary.Rd
man/profdpm.Rd
man/profLinear.Rd
man/profBinary.Rd
man/pci.Rd
inst
inst/doc
inst/doc/profdpm.pdf
inst/doc/profdpm.Rnw
inst/doc/profdpm.R
inst/CITATION
R
R/summary.profLinear.R
R/summary.profBinary.R
R/profLinear.R
R/profBinary.R
R/pci.R
NAMESPACE
DESCRIPTION
profdpm documentation built on May 19, 2017, 11:09 a.m.