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
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
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