R package lattice: Lattice Graphics , Lattice is a powerful and elegant high-level data visualization system, with an emphasis on multivariate data, that is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction. (Source:

References in zbMATH (referenced in 100 articles , 1 standard article )

Showing results 1 to 20 of 100.
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  1. Achim Zeileis, Susanne Köll, Nathaniel Graham: Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020) not zbMATH
  2. Chen, Tuo; Su, Zhihua; Yang, Yi; Ding, Shanshan: Efficient estimation in expectile regression using envelope models (2020)
  3. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  4. Maria Xose Rodriguez-Alvarez, Vanda Inacio: ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information (2020) arXiv
  5. Ackerman, Samuel: Consistency of survey opinions and external data (2019)
  6. Finch, W. Holmes; Bolin, Jocelyn E.; Kelley, Ken: Multilevel modeling using R (2019)
  7. Giorgio Speranza, Roberto Canteri: RxpsG a new open project for Photoelectron and Electron Spectroscopy data processing (2019) not zbMATH
  8. Hay-Jahans, Christopher: R companion to elementary applied statistics (2019)
  9. Hu, Da-Hai: Local least product relative error estimation for varying coefficient multiplicative regression model (2019)
  10. Murrell, Paul: R graphics (2019)
  11. Paul F. Petrowski; Elizabeth G. King; Timothy M. Beissinger: An R Framework for the Partitioning of Linkage Disequilibrium between and Within Populations (2019) not zbMATH
  12. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  13. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  14. Hofert, Marius; Kojadinovic, Ivan; Mächler, Martin; Yan, Jun: Elements of copula modeling with R (2018)
  15. Keen, Kevin J.: Graphics for statistics and data analysis with R (2018)
  16. Stéphanie Bougeard; Stéphane Dray: Supervised Multiblock Analysis in R with the ade4 Package (2018) not zbMATH
  17. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018) not zbMATH
  18. Ken Beath: randomLCA: An R Package for Latent Class with Random Effects Analysis (2017) not zbMATH
  19. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017) not zbMATH
  20. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017) not zbMATH

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