shiny

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 24 articles )

Showing results 1 to 20 of 24.
Sorted by year (citations)

1 2 next

  1. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  2. Balasubramanian Narasimhan and Daniel Rubin and Samuel Gross and Marina Bendersky and Philip Lavori: Software for Distributed Computation on Medical Databases: A Demonstration Project (2017)
  3. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  4. Benjamin R. Fitzpatrick, Kerrie Mengersen: A network flow approach to visualising the roles of covariates in random forests (2017) arXiv
  5. Julia Fukuyama: Adaptive gPCA: A method for structured dimensionality reduction (2017) arXiv
  6. Kaplan, Andee; Hofmann, Heike; Nordman, Daniel: An interactive graphical method for community detection in network data (2017)
  7. Pascal Kerschke: Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco (2017) arXiv
  8. Przemyslaw Biecek, Marcin Kosinski: archivist: An R Package for Managing, Recording and Restoring Data Analysis Results (2017) arXiv
  9. RESSTE Network et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
  10. Shang, Han Lin; Haberman, Steven: Grouped multivariate and functional time series forecasting: an application to annuity pricing (2017)
  11. Starunova, Olga A.; Rudnev, Sergey G.; Starodubov, Vladimir I.: HCViewer: software and technology for quality control and processing raw mass data of preventive screening (2017)
  12. Casey Jelsema and Shyamal Peddada: CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints (2016)
  13. Christian Panse: Rectangular Statistical Cartograms in R: The recmap Package (2016) arXiv
  14. Doi, Jimmy; Potter, Gail; Wong, Jimmy; Alcaraz, Irvin; Chi, Peter: Web application teaching tools for statistics using R and Shiny (2016) MathEduc
  15. Francisco Louzada, Anderson Ara: MWStat: A Modulated Web-Based Statistical System (2016) arXiv
  16. 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)
  17. Mark O’Connell, Catherine B. Hurley, Katarina Domijan: Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R (2016) arXiv
  18. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  19. Nicholas Syring, Meng Li: BayesBD: An R Package for Bayesian Inference on Image Boundaries (2016) arXiv
  20. Heiberger, Richard M.; Holland, Burt: Statistical analysis and data display. An intermediate course with examples in R (2015)

1 2 next