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.
- Version0.2.5
- R versionR (≥ 3.5.0)
- LicenseGPL-3
- Needs compilation?No
- Last release02/05/2025
Documentation
Team
Simon E. H. Smart
MaintainerShow author detailsValentina Grisales-Betancur
Show author detailsRolesContributorMatthew E. Aiello-Lammens
Show author detailsRolesContributorBruno Vilela
Show author detailsRolesContributorPeter J. Galante
Show author detailsRolesContributorAndrea Paz
Show author detailsRolesContributorDean Attali
Show author detailsRolesContributorSarah I. Meenan
Show author detailsRolesContributorOlivier Broennimann
Show author detailsRolesContributorCory Merow
Show author detailsRolesContributorMary E. Blair
Show author detailsRolesContributorRobert P. Anderson
Show author detailsRolesContributorJamie M. Kass
Show author detailsRolesContributorHannah L. Owens
Show author detailsRolesContributorBethany A. Johnson
Show author detailsRolesContributorSara Varela
Show author detailsRolesContributorRobert Muscarella
Show author detailsRolesContributorGonzalo E. Pinilla-Buitrago
Show author detailsRolesContributorBrian S. Maitner
Show author detailsRolesContributorTim Lucas
Insights
Last 30 days
This package has been downloaded 609 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 54 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,764 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Feb 05, 2025 with 63 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends3 packages
- Imports6 packages
- Suggests24 packages