snowfall

R package snowfall: Easier cluster computing (based on snow). Usability wrapper around snow for easier development of parallel R programs. This package offers e.g. extended error checks, and additional functions. All functions work in sequential mode, too, if no cluster is present or wished. Package is also designed as connector to the cluster management tool sfCluster, but can also used without it.


References in zbMATH (referenced in 18 articles )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Ahonen, Ilmari; Nevalainen, Jaakko; Larocque, Denis: Prediction with a flexible finite mixture-of-regressions (2019)
  2. Barreto-Souza, Wagner; Mayrink, Vinícius Diniz: Semiparametric generalized exponential frailty model for clustered survival data (2019)
  3. Christoph Mssel, Ludwig Lausser, Markus Maucher, Hans A. Kestler: Multi-Objective Parameter Selection for Classifiers (2019) not zbMATH
  4. Abgrall, Dominique; Habart, Marine; Rainer, Catherine; Sow, Aliou: Exploring the longevity risk using statistical tools derived from the Shiryaev-Roberts procedure (2018)
  5. Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers: bridgesampling: An R Package for Estimating Normalizing Constants (2017) arXiv
  6. Biau, Gérard; Fischer, Aurélie; Guedj, Benjamin; Malley, James D.: COBRA: a combined regression strategy (2016)
  7. Perera, Harsha; Davis, Jack; Swartz, Tim B.: Optimal lineups in Twenty20 cricket (2016)
  8. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  9. Liang Jing; Victor De Oliveira: geoCount: An R Package for the Analysis of Geostatistical Count Data (2015) not zbMATH
  10. Pesonen, Maiju; Pesonen, Henri; Nevalainen, Jaakko: Covariance matrix estimation for left-censored data (2015)
  11. Hieke, Stefanie; Binder, Harald; Nieters, Alexandra; Schumacher, Martin: minPtest: a resampling based gene region-level testing procedure for genetic case-control studies (2014)
  12. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  13. Rasch, D.; Spangl, B.; Wang, M.: Minimal experimental size in the three way ANOVA cross classification model with approximate F-tests (2012)
  14. Eugster, Manuel J. A.; Knaus, Jochen; Porzelius, Christine; Schmidberger, Markus; Vicedo, Esmeralda: Hands-on tutorial for parallel computing with R (2011)
  15. Porzelius, Christine: Model complexity selection in high-dimensional time-to-event data analysis (2011)
  16. Porzelius, Christine; Schumacher, Martin; Binder, Harald: The benefit of data-based model complexity selection via prediction error curves in time-to-event data (2011)
  17. Rücker, Gerta; Carpenter, James R.; Schwarzer, Guido: Detecting and adjusting for small-study effects in meta-analysis (2011)
  18. Markus Schmidberger; Martin Morgan; Dirk Eddelbuettel; Hao Yu; Luke Tierney; Ulrich Mansmann: State of the Art in Parallel Computing with R (2009) not zbMATH