Package: pbdDMAT
Title: Programming with Big Data -- Distributed Matrix Methods
Version: 0.2-2
Date: 2013-3-4
Depends: R (>= 2.14.0), methods, rlecuyer, pbdMPI (>= 0.1-8), pbdSLAP
        (>= 0.1-6), pbdBASE (>= 0.2-2)
LazyLoad: yes
LazyData: 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("R Core
        team", role = "ctb", comment = "some wrappers taken from the
        base and stats packages"))
Description: pbdDMAT contains high level S3 and S4 methods for creating,
        modifying, and performing computations with dense, distributed 
        matrices. This includes a new class, 'ddmatrix', for storing all 
        of the distributed data details.  Computation is handled mostly 
        by routines from the pbdBASE package.
SystemRequirements: OpenMPI (>= 1.5.4) on Solaris, Linux and Mac,
        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
Packaged: 2013-07-08 02:12:43 UTC; mschmid3
Author: Drew Schmidt [aut, cre],
  Wei-Chen Chen [aut],
  George Ostrouchov [aut],
  Pragneshkumar Patel [aut],
  R Core team [ctb]
Maintainer: Drew Schmidt <schmidt@math.utk.edu>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-07-08 12:01:11
