profdpm: Profile Dirichlet Process Mixtures

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.

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

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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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.