References in zbMATH (referenced in 34 articles )

Showing results 1 to 20 of 34.
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  1. Lisa Amrhein, Christiane Fuchs: stochprofML: Stochastic Profiling Using Maximum Likelihood Estimation in R (2020) arXiv
  2. Neeraj Dhanraj Bokde; Gorm Bruun Andersen: ForecastTB - An R Package as a Test-bench for Forecasting Methods Comparison (2020) arXiv
  3. Stefano Mangiola, Anthony Papenfuss: tidyHeatmap: an R package for modular heatmap production based on tidy principles (2020) not zbMATH
  4. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  5. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  6. Martínková, Natália; Škrabánek, Pavel; Pikula, Jiri: Modelling invasive pathogen load from non-destructive sampling data (2019)
  7. Murrell, Paul: R graphics (2019)
  8. Quach, Anna; Symanzik, Jürgen; Forsgren, Nicole: Soul of the community: an attempt to assess attachment to a community (2019)
  9. Virgilio Gómez-Rubio; Paula Moraga; John Molitor; Barry Rowlingson: DClusterm: Model-Based Detection of Disease Clusters (2019) not zbMATH
  10. Borcard, Daniel; Gillet, François; Legendre, Pierre: Numerical ecology with R (2018)
  11. David Bolin; Finn Lindgren: Calculating Probabilistic Excursion Sets and Related Quantities Using excursions (2018) not zbMATH
  12. Martijn Tennekes: tmap: Thematic Maps in R (2018) not zbMATH
  13. Roman Luštrik; Žan Kuralt: wolfexplorer: a tool for visualization and exploration of complex multi-year multi-specimen datasets (2018) not zbMATH
  14. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  15. Carracedo, Patricia; Debón, Ana: Spatial statistical tools to assess mortality differences in Europe (2017)
  16. Helwig, Nathaniel E.: Estimating latent trends in multivariate longitudinal data via Parafac2 with functional and structural constraints (2017)
  17. Tomáš Sieger and Catherine Hurley and Karel Fišer and Claudia Beleites: Interactive Dendrograms: The R Packages idendro and idendr0 (2017) not zbMATH
  18. Anders Bilgrau; Poul Eriksen; Jakob Rasmussen; Hans Johnsen; Karen Dybkaer; Martin Boegsted: GMCM: Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models (2016) not zbMATH
  19. Braun, W. John; Murdoch, Duncan J.: A first course in statistical programming with R. (2016)
  20. Guy J. Abel: fanplot: An R Package for Visualising Sequential Distributions (2015) not zbMATH

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