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CRAN: Package shinyscholar

shinyscholar: A Template for Creating Reproducible 'shiny' Applications

Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.

Version: 0.4.2 Depends: R (≥ 4.1.0), bslib, gargoyle, leaflet (≥ 2.0.2), shiny (≥ 1.8.1) Imports: curl, devtools, glue, knitr, tools, zip Suggests: DT (≥ 0.5), dplyr (≥ 1.0.2), httr2, knitcitations, leaflet.extras (≥ 1.0.0), markdown, mirai, R6, RColorBrewer, renv, rintrojs, rmarkdown, shinyAce, shinyalert, shinybusy, shinyjs, shinytest2, shinyWidgets (≥ 0.6.0), terra, testthat, xml2, withr Published: 2025-06-01 DOI: 10.32614/CRAN.package.shinyscholar Author: Simon E. H. Smart [aut, cre, cph], Tim Lucas [aut], Jamie M. Kass [ctb], Gonzalo E. Pinilla-Buitrago [ctb], Andrea Paz [ctb], Bethany A. Johnson [ctb], Valentina Grisales-Betancur [ctb], Dean Attali [ctb], Matthew E. Aiello-Lammens [ctb], Cory Merow [ctb], Mary E. Blair [ctb], Robert P. Anderson [ctb], Sarah I. Meenan [ctb], Olivier Broennimann [ctb], Peter J. Galante [ctb], Brian S. Maitner [ctb], Hannah L. Owens [ctb], Sara Varela [ctb], Bruno Vilela [ctb], Robert Muscarella [ctb] Maintainer: Simon E. H. Smart <simon.smart at cantab.net> BugReports: https://github.com/simon-smart88/shinyscholar/issues License: GPL-3 URL: https://simon-smart88.github.io/shinyscholar/ NeedsCompilation: no SystemRequirements: pandoc is required for generating reproducible reports Materials: README NEWS CRAN checks: shinyscholar results Documentation: Downloads: Linking:

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