Package: pmclust
Version: 0.1-7
Date: 2016-06-07
Title: Parallel Model-Based Clustering using
Expectation-Gathering-Maximization Algorithm for Finite Mixture
Gaussian Model
Authors@R: c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
"wccsnow@gmail.com"), person("George", "Ostrouchov", role = "aut"))
Depends: R (>= 3.0.0), pbdMPI (>= 0.3-1), pbdBASE (>= 0.4-3), pbdDMAT
(>= 0.4-0)
Imports: methods, MASS
Enhances: MixSim
LazyLoad: yes
LazyData: yes
Description: Aims to utilize model-based clustering (unsupervised)
for high dimensional and ultra large data, especially in a distributed
manner. The code employs pbdMPI to perform a
expectation-gathering-maximization algorithm
for finite mixture Gaussian
models. The unstructured dispersion matrices are assumed in the
Gaussian models. The implementation is default in the single program
multiple data programming model. The code can be executed
through pbdMPI and independent to most MPI applications.
See the High Performance
Statistical Computing website for more information, documents
and examples.
License: GPL (>= 2)
URL: http://r-pbd.org/
BugReports: http://group.r-pbd.org/
MailingList: Please send questions and comments regarding pbdR to
RBigData@gmail.com
NeedsCompilation: yes
Packaged: 2016-01-25 17:25:34 UTC; snoweye
Author: Wei-Chen Chen [aut, cre],
George Ostrouchov [aut]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Repository: CRAN
Date/Publication: 2016-01-26 00:26:43
Package: pbdDMAT
Title: Programming with Big Data -- Distributed Matrix Methods
Version: 0.4-0
Depends: R (>= 3.0.0), pbdMPI (>= 0.3-1), pbdBASE (>= 0.4-3)
Imports: utils, stats, methods
LazyLoad: yes
LazyData: yes
ByteCompile: yes
NeedsCompilation: yes
Authors@R: c(person("Drew", "Schmidt", role = c("aut", "cre"), email =
"schmidt@math.utk.edu"),
person("Wei-Chen", "Chen", role = "aut"),
person("George", "Ostrouchov", role = "aut"),
person("Pragneshkumar", "Patel", role = "aut"),
person("ZhaoKang", "Wang", role="ctb"),
person("Michael", "Lawrence", role="ctb"),
person("R Core team", role = "ctb", comment = "some wrappers
taken from the base and stats packages"))
Description: A set of classes for managing distributed matrices, and
a collection of methods for computing linear algebra and
statistics. Computation is handled mostly by routines from the
'pbdBASE' package, which itself relies on the 'ScaLAPACK' and
'PBLAS' numerical libraries for distributed computing.
SystemRequirements: OpenMPI (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. MS-MPI (Microsoft HPC Pack 2012) or MPICH2 (>=
1.4.1p1) on Windows.
License: GPL (>= 2)
URL: http://r-pbd.org/
BugReports: http://group.r-pbd.org/
MailingList: Please send questions and comments regarding pbdR to
RBigData@gmail.com
Maintainer: Drew Schmidt <schmidt@math.utk.edu>
RoxygenNote: 5.0.1
Packaged: 2016-01-22 22:41:53 UTC; mschmid3
Author: Drew Schmidt [aut, cre],
Wei-Chen Chen [aut],
George Ostrouchov [aut],
Pragneshkumar Patel [aut],
ZhaoKang Wang [ctb],
Michael Lawrence [ctb],
R Core team [ctb] (some wrappers taken from the base and stats
packages)
Repository: CRAN
Date/Publication: 2016-01-24 17:08:15
providing 
.