A collection of shiny apps and modules to visualize/handle model results

R package shinyresults, version 0.37.2

Purpose and Functionality

A collection of shiny apps and modules to explore and visualize time series of modelling results.

Installation

For installation of the most recent package version an additional repository has to be added in R:

options(repos = c(CRAN = "@CRAN@", pik = "https://rse.pik-potsdam.de/r/packages"))

The additional repository can be made available permanently by adding the line above to a file called .Rprofile stored in the home folder of your system (Sys.glob("~") in R returns the home directory).

After that the most recent version of the package can be installed using install.packages:

install.packages("shinyresults")

Package updates can be installed using update.packages (make sure that the additional repository has been added before running that command):

update.packages()

Tutorial

The package comes with a vignette describing the basic functionality of the package and how to use it. You can load it with the following command (the package needs to be installed):

vignette("configuring-shiny") # Configuring shinyresults

Questions / Problems

In case of questions / problems please contact Jan Philipp Dietrich dietrich@pik-potsdam.de.

Citation

To cite package shinyresults in publications use:

Dietrich J, Humpenoeder F, Sauer P, Rein P (2026). "shinyresults: A collection of shiny apps and modules to visualize/handle model results." doi:10.5281/zenodo.1478922 https://doi.org/10.5281/zenodo.1478922, Version: 0.37.2, https://github.com/pik-piam/shinyresults.

A BibTeX entry for LaTeX users is

@Misc{,
 title = {shinyresults: A collection of shiny apps and modules to visualize/handle model
   results},
 author = {Jan Philipp Dietrich and Florian Humpenoeder and Pascal Sauer and Patrick Rein},
 doi = {10.5281/zenodo.1478922},
 date = {2026-03-31},
 year = {2026},
 url = {https://github.com/pik-piam/shinyresults},
 note = {Version: 0.37.2},
}