References in zbMATH (referenced in 28 articles , 1 standard article )

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  1. Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior: hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks (2020) not zbMATH
  2. Neeraj Dhanraj Bokde; Gorm Bruun Andersen: ForecastTB - An R Package as a Test-bench for Forecasting Methods Comparison (2020) arXiv
  3. Chakraborty, Saptarshi; Khare, Kshitij: Consistent estimation of the spectrum of trace class data augmentation algorithms (2019)
  4. Kaplan, Andee J.; Hare, Eric R.: Putting down roots: a graphical exploration of community attachment (2019)
  5. Oleksii Pokotylo; Pavlo Mozharovskyi; Rainer Dyckerhoff: Depth and Depth-Based Classification with R Package ddalpha (2019) not zbMATH
  6. Klein, Hartmut; Hesse, Linnea; Boljen, Matthias; Kampowski, Tim; Butschek, Irina; Speck, Thomas; Speck, Olga: Finite element modelling of complex movements during self-sealing of ring incisions in leaves of \textitDelospermacooperi (2018)
  7. Tan, Teck Kiang: Doubly classified model with R (2017)
  8. Tyralis, Hristos; Papacharalampous, Georgia: Variable selection in time series forecasting using random forests (2017)
  9. Xu, Zheng: Book review of: A. Hector, The new statistics with R. An introduction for biologists (2017)
  10. Allon, A.S., Luria, R.: prepdat - An R Package for Preparing Experimental Data for Statistical Analysis (2016) not zbMATH
  11. Neeraj Bokde, Kishore Kulat, Marcus W Beck, Gualberto Asencio-Cortes: R package imputeTestbench to compare imputations methods for univariate time series (2016) arXiv
  12. Wickham, Hadley: ggplot2. Elegant graphics for data analysis. With contributions by Carson Sievert (2016)
  13. Scholten, Lisa; Schuwirth, Nele; Reichert, Peter; Lienert, Judit: Tackling uncertainty in multi-criteria decision analysis -- an application to water supply infrastructure planning (2015) ioport
  14. David Robinson: broom: An R Package for Converting Statistical Analysis Objects Into Tidy Data Frames (2014) arXiv
  15. Hadley Wickham: Tidy Data (2014) not zbMATH
  16. Kruschke, John: Doing Bayesian data analysis. A tutorial introduction with R, JAGS, and Stan (2014)
  17. Terrance Savitsky; Susan Paddock: Bayesian Semi- and Non-Parametric Models for Longitudinal Data with Multiple Membership Effects in R (2014) not zbMATH
  18. Gałecki, Andrzej; Burzykowski, Tomasz: Linear mixed-effects models using R. A step-by-step approach (2013)
  19. Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
  20. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2013)

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