R-multicore-0.1_7-1-omv2013.0.x86_64.rpm


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Description

R-multicore - Parallel processing of R code on machines with multiple cores or CPUs

Property Value
Distribution OpenMandriva Cooker
Repository OpenMandriva Contrib x86_64
Package name R-multicore
Package version 0.1_7
Package release 1-omv2013.0
Package architecture x86_64
Package type rpm
Installed size 108.95 KB
Download size 71.55 KB
Official Mirror abf-downloads.openmandriva.org
This package provides a way of running parallel computations in R on
machines with multiple cores or CPUs. Jobs can share the entire initial
workspace and it provides methods for results collection.

Alternatives

Package Version Architecture Repository
R-multicore-0.1_7-1-omv2013.0.i586.rpm 0.1_7 i586 OpenMandriva Contrib
R-multicore - - -

Requires

Name Value
libR.so()(64bit) -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.15)(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -

Provides

Name Value
R-multicore == 0.1_7-1:2013.0
multicore.so()(64bit) -

Download

Type URL
Binary Package R-multicore-0.1_7-1-omv2013.0.x86_64.rpm
Source Package R-multicore-0.1_7-1.src.rpm

Install Howto

  1. Enable OpenMandriva Contrib repository on Install and Remove Software"
  2. Update packages list:
    # urpmi.update -a
  3. Install R-multicore rpm package:
    # urpmi R-multicore

Files

Path
/usr/lib64/R/library/multicore/DESCRIPTION
/usr/lib64/R/library/multicore/INDEX
/usr/lib64/R/library/multicore/NAMESPACE
/usr/lib64/R/library/multicore/NEWS
/usr/lib64/R/library/multicore/Meta/Rd.rds
/usr/lib64/R/library/multicore/Meta/hsearch.rds
/usr/lib64/R/library/multicore/Meta/links.rds
/usr/lib64/R/library/multicore/Meta/nsInfo.rds
/usr/lib64/R/library/multicore/Meta/package.rds
/usr/lib64/R/library/multicore/R/multicore
/usr/lib64/R/library/multicore/R/multicore.rdb
/usr/lib64/R/library/multicore/R/multicore.rdx
/usr/lib64/R/library/multicore/help/AnIndex
/usr/lib64/R/library/multicore/help/aliases.rds
/usr/lib64/R/library/multicore/help/multicore.rdb
/usr/lib64/R/library/multicore/help/multicore.rdx
/usr/lib64/R/library/multicore/help/paths.rds
/usr/lib64/R/library/multicore/html/00Index.html
/usr/lib64/R/library/multicore/html/R.css
/usr/lib64/R/library/multicore/html/children.html
/usr/lib64/R/library/multicore/html/fork.html
/usr/lib64/R/library/multicore/html/mclapply.html
/usr/lib64/R/library/multicore/html/multicore.html
/usr/lib64/R/library/multicore/html/parallel.html
/usr/lib64/R/library/multicore/html/process.html
/usr/lib64/R/library/multicore/html/pvec.html
/usr/lib64/R/library/multicore/html/sendMaster.html
/usr/lib64/R/library/multicore/html/signals.html
/usr/lib64/R/library/multicore/libs/multicore.so

Changelog

2012-02-16 - Paulo Andrade <pcpa@mandriva.com.br> 0.1_7-1
+ Revision: 775011
- Update to latest version
2012-02-16 - Paulo Andrade <pcpa@mandriva.com.br> 0.1_6-1
+ Revision: 774771
- Import R-multicore
- Import R-multicore

See Also

Package Description
R-mvtnorm-0.9.99992-1-omv2014.1.x86_64.rpm Multivariate Normal and t Distributions
R-network-1.7.1.1-1-omv2013.0.x86_64.rpm Classes for Relational Data
R-nor1mix-1.1.4-1-omv2013.0.x86_64.rpm Normal (1-d) Mixture Models (S3 Classes and Methods)
R-numDeriv-2012.9.1-1-omv2013.0.x86_64.rpm Accurate Numerical Derivatives
R-nws-1.7.0.1-1-omv2013.0.noarch.rpm R functions for NetWorkSpaces and Sleigh
R-oz-1.0.20-1-omv2014.1.noarch.rpm Plot the Australian coastline and states
R-png-0.1.7-1-omv2014.1.x86_64.rpm Read and write PNG images
R-polspline-1.1.9-1-omv2014.1.x86_64.rpm Polynomial spline routines
R-quadprog-1.5.5-1-omv2013.0.x86_64.rpm Functions to solve Quadratic Programming Problems
R-rJava-0.9.4-1-omv2013.0.x86_64.rpm Low-level R to Java interface
R-randomForest-4.6.7-3-omv2015.0.x86_64.rpm Breiman and Cutler's random forests for classification and regression
R-randomSurvivalForest-3.6.4-2-omv2015.0.x86_64.rpm Random Survival Forests
R-rbenchmark-1.0.0-2-omv2013.0.noarch.rpm Benchmarking routine for R
R-relimp-1.0_3-1-omv2013.0.noarch.rpm Relative Contribution of Effects in a Regression Model
R-rgenoud-5.7.8.1-1-omv2013.0.x86_64.rpm R version of GENetic Optimization Using Derivatives
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