R package shiny: Web Application Framework for R. Makes it incredibly easy to build interactive web applications with R. Automatic ”reactive” binding between inputs and outputs and extensive pre-built widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.

References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  2. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  3. Benjamin R. Fitzpatrick, Kerrie Mengersen: A network flow approach to visualising the roles of covariates in random forests (2017) arXiv
  4. Julia Fukuyama: Adaptive gPCA: A method for structured dimensionality reduction (2017) arXiv
  5. Kaplan, Andee; Hofmann, Heike; Nordman, Daniel: An interactive graphical method for community detection in network data (2017)
  6. Pascal Kerschke: Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco (2017) arXiv
  7. Przemyslaw Biecek, Marcin Kosinski: archivist: An R Package for Managing, Recording and Restoring Data Analysis Results (2017) arXiv
  8. Christian Panse: Rectangular Statistical Cartograms in R: The recmap Package (2016) arXiv
  9. Doi, Jimmy; Potter, Gail; Wong, Jimmy; Alcaraz, Irvin; Chi, Peter: Web application teaching tools for statistics using R and Shiny (2016) MathEduc
  10. Francisco Louzada, Anderson Ara: MWStat: A Modulated Web-Based Statistical System (2016) arXiv
  11. Kasim, Adetayo (ed.); Shkedy, Ziv (ed.); Kaiser, Sebastian (ed.); Hochreiter, Sepp (ed.); Talloen, Willem (ed.): Applied biclustering methods for big and high-dimensional data using R (2016)
  12. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  13. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  14. Nicholas Syring, Meng Li: BayesBD: An R Package for Bayesian Inference on Image Boundaries (2016) arXiv
  15. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)
  16. John Ehrlinger: ggRandomForests: Visually Exploring a Random Forest for Regression (2015) arXiv
  17. Dimitris Rizopoulos: The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC (2014) arXiv
  18. Xie, Yihui; Hofmann, Heike; Cheng, Xiaoyue: Reactive programming for interactive graphics (2014)
  19. Yihui Xie, Heike Hofmann, Xiaoyue Cheng: Reactive Programming for Interactive Graphics (2014) arXiv