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).
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References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
- Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
- Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
- Petrou, Savvas; Sloan, Terence M.; Mewissen, Muriel; Forster, Thorsten; Piotrowski, Michal; Dobrzelecki, Bartosz; Ghazal, Peter; Trew, Arthur; Hill, Jon: Optimization of a parallel permutation testing function for the SPRINT R package (2011) ioport
- Kraus, Johann M.; Kestler, Hans A.: A highly efficient multi-core algorithm for clustering extremely large datasets (2010) ioport
- Sangket, Unitsa; Mahasirimongkol, Surakameth; Chantratita, Wasun; Tandayya, Pichaya; Aulchenko, Yurii S.: Parallabel: an R library for generalized parallelization of genome-wide association studies (2010) ioport