doParallel

doParallel: Foreach parallel adaptor for the parallel package. Provides a parallel backend for the %dopar% function using the parallel package.

Keywords for this software

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References in zbMATH (referenced in 35 articles )

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  1. Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda: FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems (2021) arXiv
  2. Arnald Puy, Samuele Lo Piano, Andrea Saltelli, Simon A. Levin: sensobol: an R package to compute variance-based sensitivity indices (2021) arXiv
  3. Eggleston, B. S., Ibrahim, J. G., McNeil, B., Catellier, D: BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data (2021) not zbMATH
  4. Vinue, Guillermo; Epifanio, Irene: Robust archetypoids for anomaly detection in big functional data (2021)
  5. Daniel Peña, Ezequiel Smucler, Victor Yohai: gdpc: An R Package for Generalized Dynamic Principal Components (2020) not zbMATH
  6. Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior: hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks (2020) not zbMATH
  7. Giovanna Jona Lasinio; Gianluca Mastrantonio; Mario Santoro: CircSpaceTime: an R package for spatial and spatio-temporal modeling of Circular data (2020) arXiv
  8. Lasinio, Giovanna Jona; Santoro, Mario; Mastrantonio, Gianluca: CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data (2020)
  9. Papastamoulis, Panagiotis: Clustering multivariate data using factor analytic Bayesian mixtures with an unknown number of components (2020)
  10. Wickramasuriya, Shanika L.; Turlach, Berwin A.; Hyndman, Rob J.: Optimal non-negative forecast reconciliation (2020)
  11. Xu Dong, Luis Castro, Nazrul Shaikh: fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks (2020) not zbMATH
  12. Yavuv, Fulya Gokalp; Schloerke, Barret: Parallel computing in linear mixed models (2020)
  13. Alireza S. Mahani; Mansour T.A. Sharabiani: Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC (2019) not zbMATH
  14. Angela Bitto-Nemling, Annalisa Cadonna, Sylvia Frühwirth-Schnatter, Peter Knaus: Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP (2019) arXiv
  15. Calvin, K., Link, R. and Wise, M.: gcamland v1.0 - An R Package for Modelling Land Use and Land Cover Change (2019) not zbMATH
  16. Eric S Kawaguchi, Jenny I Shen, Gang Li, Marc A Suchard: A Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk (2019) arXiv
  17. Górecki, Tomasz; Smaga, Łukasz: fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data (2019)
  18. Liang, Waley W. J.; Lee, Herbert K. H.: Bayesian nonstationary Gaussian process models via treed process convolutions (2019)
  19. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  20. Robert Geitner and Robby Fritzsch and Jürgen Popp and Thomas Bocklitz: corr2D: Implementation of Two-Dimensional Correlation Analysis in R (2019) not zbMATH

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