References in zbMATH (referenced in 22 articles )

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  1. 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
  2. Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018) not zbMATH
  3. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017) not zbMATH
  4. Altieri, L.; Cocchi, D.; Greco, F.; Illian, J. B.; Scott, E. M.: Bayesian P-splines and advanced computing in R for a changepoint analysis on spatio-temporal point processes (2016)
  5. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  6. McKinley, Trevelyan J.; Morters, Michelle; Wood, James L. N.: Bayesian model choice in cumulative link ordinal regression models (2015)
  7. Hieke, Stefanie; Binder, Harald; Nieters, Alexandra; Schumacher, Martin: minPtest: a resampling based gene region-level testing procedure for genetic case-control studies (2014)
  8. Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias: Model-based boosting in R: a hands-on tutorial using the R package mboost (2014)
  9. Karl, Andrew T.; Eubank, Randy; Milovanovic, Jelena; Reiser, Mark; Young, Dennis: Using rngstreams for parallel random number generation in C++ and R (2014)
  10. Stephan Ritter; Nicholas Jewell; Alan Hubbard: R Package multiPIM: A Causal Inference Approach to Variable Importance Analysis (2014) not zbMATH
  11. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  12. Alessandro Cardinali; Guy Nason: Costationarity of Locally Stationary Time Series Using costat (2013) not zbMATH
  13. Haller, Bernhard; Schmidt, Georg; Ulm, Kurt: Applying competing risks regression models: an overview (2013)
  14. Michael Kane; John Emerson; Stephen Weston: Scalable Strategies for Computing with Massive Data (2013) not zbMATH
  15. Brandon Whitcher; Volker Schmid: Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R (2011) not zbMATH
  16. Eugster, Manuel J. A.; Knaus, Jochen; Porzelius, Christine; Schmidberger, Markus; Vicedo, Esmeralda: Hands-on tutorial for parallel computing with R (2011)
  17. Fabian Scheipl: spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R (2011) not zbMATH
  18. Madeleine Thompson: Introduction to SamplerCompare (2011) not zbMATH
  19. Okabayashi, Saisuke; Johnson, Leif; Geyer, Charles J.: Extending pseudo-likelihood for Potts models (2011)
  20. Schmidberger, Markus; Vicedo, Esmeralda; Mansmann, Ulrich: Empirical study for the agreement between statistical methods in quality assessment and control of microarray data (2011)

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