References in zbMATH (referenced in 39 articles )

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  1. Esam Mahdi: portes: An R Package for Portmanteau Tests in Time Series Models (2020) arXiv
  2. Agostinelli, Claudio; Valdora, Marina; Yohai, Victor J.: Initial robust estimation in generalized linear models (2019)
  3. Ann-Kristin Kreutzmann; Sören Pannier; Natalia Rojas-Perilla; Timo Schmid; Matthias Templ; Nikos Tzavidis: The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators (2019) not zbMATH
  4. Bauer, Verena; Fürlinger, Karl; Kauermann, Göran: A note on parallel sampling in Markov graphs (2019)
  5. Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke: rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database (2019) arXiv
  6. Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018) not zbMATH
  7. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017) not zbMATH
  8. González, Miguel; Gutiérrez, Cristina; Martínez, Rodrigo; Minuesa, Carmen; del Puerto, Inés M.: Bayesian analysis for controlled branching processes (2016)
  9. Gregor Kastner: Dealing with Stochastic Volatility in Time Series Using the R Package stochvol (2016) not zbMATH
  10. Kustosz, Christoph P.; Leucht, Anne; Müller, Christine H.: Tests based on simplicial depth for AR(1) models with explosion (2016)
  11. Matloff, Norman: Parallel computing for data science. With examples in R, C++ and CUDA (2016)
  12. Matthew Denwood: runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS (2016) not zbMATH
  13. Perera, Harsha; Davis, Jack; Swartz, Tim B.: Optimal lineups in Twenty20 cricket (2016)
  14. Robert Gramacy: laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R (2016) not zbMATH
  15. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  16. Zucknick, Manuela; Saadati, Maral; Benner, Axel: Nonidentical twins: comparison of frequentist and Bayesian Lasso for Cox models (2015)
  17. Ahn, Jae Youn; Shyamalkumar, Nariankadu D.: Asymptotic theory for the empirical Haezendonck-Goovaerts risk measure (2014)
  18. Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias: Model-based boosting in R: a hands-on tutorial using the R package mboost (2014)
  19. Karl, Andrew T.; Eubank, Randy; Milovanovic, Jelena; Reiser, Mark; Young, Dennis: Using rngstreams for parallel random number generation in C++ and R (2014)
  20. Kastner, Gregor; Frühwirth-Schnatter, Sylvia: Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models (2014)

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