Package: kazaam
Type: Package
Title: Tools for Tall Distributed Matrices
Version: 0.1-0
Description: Many data science problems reduce to operations on very tall,
    skinny matrices.  However, sometimes these matrices can be so tall that they
    are difficult to work with, or do not even fit into main memory.  One
    strategy to deal with such objects is to distribute their rows across
    several processors.  To this end, we offer an 'S4' class for tall, skinny,
    distributed matrices, called the 'shaq'.  We also provide many useful
    numerical methods and statistics operations for operating on these
    distributed objects.  The naming is a bit "tongue-in-cheek", with the class
    a play on the fact that 'Shaquille' 'ONeal' ('Shaq') is very tall, and he
    starred in the film 'Kazaam'.
License: BSD 2-clause License + file LICENSE
Depends: R (>= 3.0.0), pbdMPI (>= 0.3-0)
Imports: methods, stats
ByteCompile: yes
Authors@R: c(
    person("Drew", "Schmidt", role = c("aut", "cre"), email="wrathematics@gmail.com"), 
    person("Wei-Chen", "Chen", role = "aut"),
    person("Mike", "Matheson", role = "aut"),
    person("George", "Ostrouchov", role = "aut"),
    person("ORNL", role = "cph")
    )
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 <wrathematics@gmail.com>
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-06-26 17:12:17 UTC; mschmid3
Author: Drew Schmidt [aut, cre],
  Wei-Chen Chen [aut],
  Mike Matheson [aut],
  George Ostrouchov [aut],
  ORNL [cph]
Repository: CRAN
Date/Publication: 2017-06-29 13:19:58 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 03:18:14 UTC; windows
Archs: x64
