lattice

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: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 62 articles , 1 standard article )

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  1. Ulrike Grömping: R Package DoE.base for Factorial Experiments (2018)
  2. Ken Beath: randomLCA: An R Package for Latent Class with Random Effects Analysis (2017)
  3. Matthias Templ and Bernhard Meindl and Alexander Kowarik and Olivier Dupriez: Simulation of Synthetic Complex Data: The R Package simPop (2017)
  4. Sebastian Meyer and Leonhard Held and Michael Höhle: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017)
  5. Atkins, Jamin; Sharma, Davinder Pal: Visualization of babble-speech interactions using Andrews curves (2016) ioport
  6. Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen: REPPlab: An R package for detecting clusters and outliers using exploratory projection pursuit (2016) arXiv
  7. Ekstrøm, Claus Thorn: The R primer (2016)
  8. Marius Hofert; Martin Mächler: Parallel and Other Simulations in R Made Easy: An End-to-End Study (2016)
  9. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  10. Matthew Denwood: runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS (2016)
  11. Russell Lenth: Least-Squares Means: The R Package lsmeans (2016)
  12. Schmitt, Eric; Vakili, Kaveh: The FastHCS algorithm for robust PCA (2016)
  13. Zhengzheng Zhang and Richard Parker and Christopher Charlton and George Leckie and William Browne: R2MLwiN: A Package to Run MLwiN from within R (2016)
  14. Blake MacDonald; Pritam Ranjan; Hugh Chipman: GPfit: An R Package for Fitting a Gaussian Process Model to Deterministic Simulator Outputs (2015)
  15. Cichosz, Paweł: Data mining algorithms. Explained using R (2015)
  16. Claudio Agostinelli, Alfio Marazzi, Victor Yohai, Alex Randriamiharisoa: Robust Estimation of the Generalized Loggamma Model. The R Package robustloggamma (2015) arXiv
  17. Douglas Bates; Martin Mächler; Ben Bolker; Steve Walker: Fitting Linear Mixed-Effects Models Using lme4 (2015)
  18. Finn Lindgren; Håvard Rue: Bayesian Spatial Modelling with R-INLA (2015)
  19. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  20. Maj-Kańska, Aleksandra; Pokarowski, Piotr; Prochenka, Agnieszka: Delete or merge regressors for linear model selection (2015)

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