Package: pbdDMAT
Title: Programming with Big Data -- Distributed Matrix Methods
Version: 0.2-3
Date: 2013-3-4
Depends: R (>= 2.14.0), methods, rlecuyer, pbdMPI (>= 0.2-1), pbdSLAP
        (>= 0.1-6), pbdBASE (>= 0.2-3)
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)
NeedsCompilation: No
URL: http://r-pbd.org/
BugReports: http://group.r-pbd.org/
MailingList: Please send questions and comments regarding pbdR to
        RBigData@gmail.com
Packaged: 2013-12-14 06:11:05 UTC; mschmid3
Maintainer: Drew Schmidt <schmidt@math.utk.edu>
Author: Drew Schmidt [aut, cre],
  Wei-Chen Chen [aut],
  George Ostrouchov [aut],
  Pragneshkumar Patel [aut],
  R Core team [ctb] (some wrappers taken from the base and stats
    packages)
Repository: CRAN
Date/Publication: 2013-12-16 20:20:19
Built: R 3.1.0; ; 2013-12-17 13:11:11 UTC; unix
