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 86 articles )

Showing results 1 to 20 of 86.
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  1. Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda: FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems (2021) arXiv
  2. Márcio A. Diniz, Gillian Gresham, Sungjim Kim, Michael Luu, N. Lynn Henry, Mourad Tighiouart, Greg Yothers, Patricia Ganz, André Rogatko: Visualizing adverse events using correspondence analysis (2021) arXiv
  3. Seb Dalgarno: shinyssdtools: A web application for fitting Species Sensitivity Distributions (SSDs) (2021) not zbMATH
  4. Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke: colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes (2020) not zbMATH
  5. Bauer, Alexander; Bender, Andreas; Klima, André; Küchenhoff, Helmut: KOALA: a new paradigm for election coverage. An opinion poll-based “now-cast” of probabilities of events in multi-party electoral systems (2020)
  6. Chenguang Wang, Elizabeth Colantuoni, Andrew Leroux, Daniel O. Scharfstein: idem: An R Package for Inferences in Clinical Trials with Death and Missingness (2020) not zbMATH
  7. Foo Cheung; The CHI Consortium: A Figure One Web Tool for Visualization of Experimental Designs (2020) not zbMATH
  8. Frits Traets, Daniel Gil Sanchez, Martina Vandebroek: Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package (2020) not zbMATH
  9. Gavin Lee, Qing Zhang, Jane W. Liang, Theodore Huang, Christine Choirat, Giovanni Parmigiani, Danielle Braun: PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer (2020) arXiv
  10. Haim Bar, HaiYing Wang: Reproducible Science with LaTeX (2020) arXiv
  11. Han Yu; Janhavi Moharil; Rachael Hageman Blair: BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks (2020) not zbMATH
  12. Hao Wang, Diederick Vermetten, Carola Doerr, Thomas Bäck: IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic (2020) arXiv
  13. Jiachen Chen, Xin Zhou, Fan Li, Donna Spiegelman: swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials (2020) arXiv
  14. Julia A. Brettschneider, Oscar T. Giles, Wilfrid S. Kendall, Tomas Lazauskas: DetectorChecker: analyzing patterns of defects in detector screens (2020) not zbMATH
  15. Kurihara, Koji; Ishioka, Fumio; Kajinishi, Shoji: Spatial and temporal clustering based on the echelon scan technique and software analysis (2020)
  16. Modesto Escobar, Luis Martinez-Uribe: Network Coincidence Analysis: The netCoin R Package (2020) not zbMATH
  17. Ni, Yang; Müller, Peter; Ji, Yuan: Bayesian double feature allocation for phenotyping with electronic health records (2020)
  18. Titz, J.: mimosa: A Modern Graphical User Interface for 2-level Mixed Models (2020) not zbMATH
  19. Vincent Alcazer: StatAid: An R package with a graphical user interface for data analysis (2020) not zbMATH
  20. Wenchao Ma, Jimmy de la Torre: GDINA: An R Package for Cognitive Diagnosis Modeling (2020) not zbMATH

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