rgl

R package rgl: 3D visualization device system (OpenGL): Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.


References in zbMATH (referenced in 50 articles )

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  1. Davies, Tilman M.; Lawson, Andrew B.: An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates (2019)
  2. Oleksii Pokotylo; Pavlo Mozharovskyi; Rainer Dyckerhoff: Depth and Depth-Based Classification with R Package ddalpha (2019) not zbMATH
  3. Polzehl, Jörg; Tabelow, Karsten: Magnetic resonance brain imaging. Modeling and data analysis using R (2019)
  4. Robert Geitner and Robby Fritzsch and Jürgen Popp and Thomas Bocklitz: corr2D: Implementation of Two-Dimensional Correlation Analysis in R (2019) not zbMATH
  5. Zhang, Ying-Ying; Wang, Ze-Yu; Duan, Zheng-Min; Mi, Wen: The empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior under Stein’s loss function (2019)
  6. Marius D. Pascariu; Maciej J. Dańko; Jonas Scholey; Silvia Rizzi: ungroup: An R package for efficient estimation of smooth distributions from coarsely binned data (2018) not zbMATH
  7. Zhang, Ying-Ying; Xie, Yu-Han; Song, Wen-He; Zhou, Ming-Qin: Three strings of inequalities among six Bayes estimators (2018)
  8. Härdle, Karl Wolfgang; Okhrin, Ostap; Okhrin, Yarema: Basic elements of computational statistics (2017)
  9. Peter E. DeWitt, Samantha MaWhinney, Nichole E. Carlson: cpr: An R Package For Finding Parsimonious B-Spline Regression Models via Control Polygon Reduction and Control Net Reduction (2017) arXiv
  10. Zhang, Ying-Ying; Zhou, Ming-Qin; Xie, Yu-Han; Song, Wen-He: The Bayes rule of the parameter in ((0,1)) under the power-log loss function with an application to the beta-binomial model (2017)
  11. Ekstrøm, Claus Thorn: The R primer (2016)
  12. Nia, Vahid Partovi; Ghannad-Rezaie, Mostafa: Agglomerative joint clustering of metabolic data with spike at zero: a Bayesian perspective (2016)
  13. Pieter Schoonees and Niël le Roux and Roelof Coetzer: Flexible Graphical Assessment of Experimental Designs in R: The vdg Package (2016) not zbMATH
  14. Yuan Tang, Wenxuan Li: lfda: An R Package for Local Fisher Discriminant Analysis and Visualization (2016) arXiv
  15. Christophe Genolini; Xavier Alacoque; Mariane Sentenac; Catherine Arnaud: kml and kml3d: R Packages to Cluster Longitudinal Data (2015) not zbMATH
  16. Christopher M. Moore, Christopher R. Stieha, Ben C. Nolting, Maria K. Cameron, Karen C. Abbott: QPot: An R Package for Stochastic Differential Equation Quasi-Potential Analysis (2015) arXiv
  17. Finn Lindgren; Håvard Rue: Bayesian Spatial Modelling with R-INLA (2015) not zbMATH
  18. da Silva, Adelino R. Ferreira: Generalized diffusion tractography based on directional data clustering (2014) ioport
  19. Langrock, Roland; Heidenreich, Nils-Bastian; Sperlich, Stefan: Kernel-based semiparametric multinomial logit modelling of political party preferences (2014)
  20. María Oliveira; Rosa Crujeiras; Alberto Rodríguez-Casal: NPCirc: An R Package for Nonparametric Circular Methods (2014) not zbMATH

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