References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  2. Helwig, Nathaniel E.: Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints (2017)
  3. Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017)
  4. Anders Bilgrau; Poul Eriksen; Jakob Rasmussen; Hans Johnsen; Karen Dybkaer; Martin Boegsted: GMCM: Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models (2016)
  5. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R. (2016)
  6. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  7. Isabella Gollini; Binbin Lu; Martin Charlton; Christopher Brunsdon; Paul Harris: GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2015)
  8. John Ehrlinger: ggRandomForests: Visually Exploring a Random Forest for Regression (2015) arXiv
  9. Mark D. Risser, Catherine A. Calder: Local likelihood estimation for covariance functions with spatially-varying parameters: the convoSPAT package for R (2015) arXiv
  10. Tim Appelhans; Florian Detsch; Thomas Nauss: remote: Empirical Orthogonal Teleconnections in R (2015)
  11. Edzer Pebesma: spacetime: Spatio-Temporal Data in R (2012)
  12. Oscar Perpiñán Lamigueiro: solaR: Solar Radiation and Photovoltaic Systems with R (2012)
  13. Murrell, Paul: R graphics (2011)
  14. Murrell, Paul: R graphics. (2006)
  15. Ruschhaupt, Markus; Huber, Wolfgang; Poustka, Annemarie; Mansmann, Ulrich: A compendium to ensure computational reproducibility in high-dimensional classification tasks (2004)