CRAN/E | kazaam

kazaam

Tools for Tall Distributed Matrices

Installation

About

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'.

Citation kazaam citation info
r-pbd.org/
Mailing list Please send questions and comments regarding pbdR to RBigData@gmail.com
Bug report File report

Key Metrics

Version 0.1-0
R ≥ 3.0.0
Published 2017-06-29 2500 days ago
Needs compilation? yes
License BSD 2-clause License
License File
CRAN checks kazaam results

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Maintainer

Maintainer

Drew Schmidt

wrathematics@gmail.com

Authors

Drew Schmidt

aut / cre

Wei-Chen Chen

aut

Mike Matheson

aut

George Ostrouchov

aut

ORNL

cph

Material

README
ChangeLog
Reference manual
Package source

Vignettes

Guide to the kazaam Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.0.0
pbdMPI ≥ 0.3-0

Imports

methods
stats