sprint: Simple Parallel R INTerface

SPRINT (Simple Parallel R INTerface) is a parallel framework for R. It provides a High Performance Computing (HPC) harness which allows R scripts to run on HPC clusters. SPRINT contains a library of selected R functions that have been parallelized. Functions are named after the original R function with the added prefix 'p', i.e. the parallel version of cor() in SPRINT is called pcor(). Call to the parallel R functions are included directly in standard R scripts. SPRINT contains functions for correlation (pcor), partitioning around medoids (ppam), apply (papply), permutation testing (pmaxT), bootstrapping (pboot), random forest (prandomForest), rank product (pRP) and hamming distance (pstringdistmatrix).

Version: 1.0.7
Depends: R (≥ 2.9.2), rlecuyer, ff (≥ 2.1-1), randomForest
Imports: boot, e1071
Suggests: cluster, stringdist, RUnit, Matrix, SparseM, multtest, Biostrings, ShortRead, golubEsets, RankProd
OS_type: unix
Published: 2014-09-29
Author: University of Edinburgh SPRINT Team
Maintainer: Eilidh Troup <e.troup at epcc.ed.ac.uk>
Contact: University of Edinburgh SPRINT Team <sprint@ed.ac.uk>
License: GPL (≥ 3)
Copyright: University of Edinburgh
URL: http://www.r-sprint.org
NeedsCompilation: yes
SystemRequirements: MPI(>= 2.0)
Citation: sprint citation info
Materials: README NEWS
In views: HighPerformanceComputing
CRAN checks: sprint results


Reference manual: sprint.pdf
Package source: sprint_1.0.7.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: sprint archive


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