References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018)
  2. He Zhao and Graham Williams and Joshua Huang: wsrf: An R Package for Classification with Scalable Weighted Subspace Random Forests (2017)
  3. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015)
  4. McKinley, Trevelyan J.; Morters, Michelle; Wood, James L. N.: Bayesian model choice in cumulative link ordinal regression models (2015)
  5. Hieke, Stefanie; Binder, Harald; Nieters, Alexandra; Schumacher, Martin: minPtest: a resampling based gene region-level testing procedure for genetic case-control studies (2014)
  6. Hofner, Benjamin; Mayr, Andreas; Robinzonov, Nikolay; Schmid, Matthias: Model-based boosting in R: a hands-on tutorial using the R package mboost (2014)
  7. Karl, Andrew T.; Eubank, Randy; Milovanovic, Jelena; Reiser, Mark; Young, Dennis: Using rngstreams for parallel random number generation in C++ and R (2014)
  8. Stephan Ritter; Nicholas Jewell; Alan Hubbard: R Package multiPIM: A Causal Inference Approach to Variable Importance Analysis (2014)
  9. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  10. Alessandro Cardinali; Guy Nason: Costationarity of Locally Stationary Time Series Using costat (2013)
  11. Haller, Bernhard; Schmidt, Georg; Ulm, Kurt: Applying competing risks regression models: an overview (2013)
  12. Michael Kane; John Emerson; Stephen Weston: Scalable Strategies for Computing with Massive Data (2013)
  13. Brandon Whitcher; Volker Schmid: Quantitative Analysis of Dynamic Contrast-Enhanced and Diffusion-Weighted Magnetic Resonance Imaging for Oncology in R (2011)
  14. Eugster, Manuel J. A.; Knaus, Jochen; Porzelius, Christine; Schmidberger, Markus; Vicedo, Esmeralda: Hands-on tutorial for parallel computing with R (2011)
  15. Fabian Scheipl: spikeSlabGAM: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R (2011)
  16. Madeleine Thompson: Introduction to SamplerCompare (2011)
  17. Schmidberger, Markus; Vicedo, Esmeralda; Mansmann, Ulrich: Empirical study for the agreement between statistical methods in quality assessment and control of microarray data (2011)
  18. Andreas Alfons; Matthias Templ; Peter Filzmoser: An Object-Oriented Framework for Statistical Simulation: The R Package simFrame (2010)
  19. Hothorn, Torsten; Bühlmann, Peter; Kneib, Thomas; Schmid, Matthias; Hofner, Benjamin: Model-based boosting 2.0 (2010)