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.
Keywords for this software
References in zbMATH (referenced in 111 articles )
Showing results 1 to 20 of 111.
Sorted by year (- Andreas Alfons, Nüfer Y. Ateş, Patrick J. F. Groenen: Robust Mediation Analysis: The R Package robmed (2022) arXiv
- Arachchige, Chandima N. P. G.; Prendergast, Luke A.; Staudte, Robert G.: Robust analogs to the coefficient of variation (2022)
- Gamerman, Dani (ed.); Prates, Marcos O. (ed.); Paiva, Thaís (ed.); Mayrink, Vinicius D. (ed.): Building a platform for data-driven pandemic prediction. From data modelling to visualisation -- the CovidLP project (2022)
- Rafael Henkin; Michael R. Barnes: visxhclust: An R Shiny package for visual exploration of hierarchical clustering (2022) not zbMATH
- Adithi R. Upadhya, Pratyush Agrawal, Sreekanth Vakacherla, Meenakshi Kushwaha: pollucheck v1.0: A package to explore open-source air pollution data (2021) not zbMATH
- Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda: FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems (2021) arXiv
- David J.M. Barnett; Ilja C.W. Arts; John Penders: microViz: an R package for microbiome data visualization and statistics (2021) not zbMATH
- Hansen Johnson, Daniel Morrison, Christopher Taggart: WhaleMap: a tool to collate and display whale survey results in near real-time (2021) not zbMATH
- Krzysztof Gajowniczek, Tomasz Ząbkowski: ImbTreeEntropy: An R package for building entropy-based classification trees on imbalanced datasets (2021) not zbMATH
- Krzysztof Gajowniczek; Tomasz Ząbkowski: ImbTreeAUC: An R package for building classification trees using the area under the ROC curve (AUC) on imbalanced datasets (2021) not zbMATH
- 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
- Miron B. Kursa: Praznik: High performance information-based feature selection (2021) not zbMATH
- Philips, Cody R.; Garrett, Robert C.; Tatro, Alan J.; Fisher, Thomas J.: An analysis of crash-safety ratings and the true assessment of injuries by vehicle (2021)
- Seb Dalgarno: shinyssdtools: A web application for fitting Species Sensitivity Distributions (SSDs) (2021) not zbMATH
- Tyler Morgan-Wall, George Khoury: Optimal Design Generation and Power Evaluation in R: The skpr Package (2021) not zbMATH
- Vinue, Guillermo; Epifanio, Irene: Robust archetypoids for anomaly detection in big functional data (2021)
- Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
- Xing, Zhengrong; Carbonetto, Peter; Stephens, Matthew: Flexible signal denoising via flexible empirical Bayes shrinkage (2021)
- 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
- Adithi R. Upadhya, Pratyush Agrawal, Sreekanth Vakacherla, Meenakshi Kushwaha: mmaqshiny v1.0: R-Shiny package to explore Air-Quality Mobile-Monitoring data (2020) not zbMATH