References in zbMATH (referenced in 68 articles )

Showing results 1 to 20 of 68.
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  1. Andrew Finley, Abhirup Datta, Sudipto Banerjee: R package for Nearest Neighbor Gaussian Process models (2020) arXiv
  2. Claudia Cappello, Sandra De Iaco, Donato Posa: covatest: An R Package for Selecting a Class of Space-Time Covariance Functions (2020) not zbMATH
  3. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  4. Viviane Philipps, Boris P Hejblum, Mélanie Prague, Daniel Commenges, Cécile Proust-Lima: Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg (2020) arXiv
  5. Waleed Almutiry, Vineetha Warriyar K V, Rob Deardon: Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT (2020) arXiv
  6. David Ardia; Keven Bluteau; Kris Boudt; Leopoldo Catania; Denis-Alexandre Trottier: Markov-Switching GARCH Models in R: The MSGARCH Package (2019) not zbMATH
  7. Gray, Charles T.; Marwick, Ben: Truth, proof, and reproducibility: there’s no counter-attack for the codeless (2019)
  8. Julien Chiquet, Pierre Barbillon, Timothée Tabouy: missSBM: An R Package for Handling Missing Values in the Stochastic Block Model (2019) arXiv
  9. Mickaël Binois and Victor Picheny: GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis (2019) not zbMATH
  10. Rocio Joo, Matthew E. Boone, Thomas A. Clay, Samantha C. Patrick, Susana Clusella-Trullas, Mathieu Basille: Navigating through the R packages for movement (2019) arXiv
  11. Alexander Foss; Marianthi Markatou: kamila: Clustering Mixed-Type Data in R and Hadoop (2018) not zbMATH
  12. Angelo Mazza; Antonio Punzo; Salvatore Ingrassia: flexCWM: A Flexible Framework for Cluster-Weighted Models (2018) not zbMATH
  13. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  14. Kasia Sawicka, Gerard B.M. Heuvelink, Dennis J.J. Walvoort: Spatial Uncertainty Propagation Analysis with the spup R Package (2018) not zbMATH
  15. Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018) not zbMATH
  16. Richard Beare; Bradley Lowekamp; Ziv Yaniv: Image Segmentation, Registration and Characterization in R with SimpleITK (2018) not zbMATH
  17. Yukinobu Hamuro; Masakazu Nakamoto; Stephane Cheung; Edward Ip: mbonsai: Application Package for Sequence Classification by Tree Methodology (2018) not zbMATH
  18. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017) not zbMATH
  19. McLeod, A. I.: Book review of: G. T. Wilson et al., Models for dependent time series. (2017)
  20. Ramon Oller; Klaus Langohr: FHtest: An R Package for the Comparison of Survival Curves with Censored Data (2017) not zbMATH

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