References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  2. Florian Gerber, Reinhard Furrer: optimParallel: an R Package Providing Parallel Versions of the Gradient-Based Optimization Methods of optim() (2018) arXiv
  3. Andrew Zammit-Mangion, Noel Cressie: FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets (2017) arXiv
  4. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  5. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  6. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  7. Michael Braun: sparseHessianFD: An R Package for Estimating Sparse Hessian Matrices (2017) not zbMATH
  8. Michel Lang: checkmate: Fast Argument Checks for Defensive R Programming (2017) arXiv
  9. Allon, A.S., Luria, R.: prepdat - An R Package for Preparing Experimental Data for Statistical Analysis (2016) not zbMATH
  10. Maëlle Salmon; Dirk Schumacher; Michael Höhle: Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016) not zbMATH
  11. Nuno Fachada, Joao Rodrigues, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa: micompr: An R Package for Multivariate Independent Comparison of Observations (2016) arXiv
  12. Tobias Kley: Quantile-Based Spectral Analysis in an Object-Oriented Framework and a Reference Implementation in R: The quantspec Package (2016) not zbMATH
  13. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  14. Kley, Tobias: Quantile-based spectral analysis: asymptotic theory and computation (2014)
  15. Terrance Savitsky; Susan Paddock: Bayesian Semi- and Non-Parametric Models for Longitudinal Data with Multiple Membership Effects in R (2014) not zbMATH