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).

Documentation

Manual: sprint.pdf
Vignette: None available.

Maintainer: Eilidh Troup <e.troup at epcc.ed.ac.uk>

Author(s): University of Edinburgh SPRINT Team <sprint at ed.ac.uk>

Install package and any missing dependencies by running this line in your R console:

install.packages("sprint")

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
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Package sprint
Materials
URL http://www.r-sprint.org
Task Views HighPerformanceComputing
Version 1.0.7
Published 2014-09-29
License GPL (>= 3)
BugReports
SystemRequirements MPI(>= 2.0)
NeedsCompilation yes
Citation
CRAN checks sprint check results
Package source sprint_1.0.7.tar.gz