Title: A User-Friendly 'shiny' Application for Exploring Associations and Visual Patterns
Version: 0.1.2
Description: A user-friendly 'shiny' application to explore statistical associations and visual patterns in multivariate datasets. The app provides interactive correlation networks, bivariate plots, and summary tables for different types of variables (numeric and categorical). It also supports optional survey weights and range-based filters on association strengths, making it suitable for the exploration of survey and public data by non-technical users, journalists, educators, and researchers. For background and methodological details, see Soetewey et al. (2025) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5637359.
License: MIT + file LICENSE
URL: https://github.com/AntoineSoetewey/AssociationExplorer2
BugReports: https://github.com/AntoineSoetewey/AssociationExplorer2/issues
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (≥ 4.1.0)
Imports: shiny
Suggests: visNetwork, ggplot2, plotly, dplyr, tidyr, readr, readxl, stringr, purrr, tibble, forcats, reactable, scales, igraph, knitr, rmarkdown, testthat (≥ 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-12-09 09:47:52 UTC; antoinesoetewey
Author: Antoine Soetewey ORCID iD [aut, cre], Cédric Heuchenne [aut] (0000-0002-3150-3044), Arnaud Claes [aut] (0000-0003-0716-0798), Antonin Descampe [aut] (0000-0002-0943-4126)
Maintainer: Antoine Soetewey <antoine.soetewey@uclouvain.be>
Repository: CRAN
Date/Publication: 2025-12-15 17:40:07 UTC

AssociationExplorer2 package

Description

Shiny application for exploring statistical associations.

Author(s)

Maintainer: Antoine Soetewey antoine.soetewey@uclouvain.be (ORCID)

Authors:

See Also

Useful links:

Launch the AssociationExplorer2 Shiny Application

Description

This function launches the AssociationExplorer2 Shiny application in your default web browser. The app provides interactive tools for exploring statistical associations, correlation networks, bivariate visualizations, and summary tables, with optional support for survey weights and range-based filtering of association strengths.

Usage

run_associationexplorer(...)

Arguments

...

Additional arguments passed to shiny::runApp(), such as port or launch.browser.

Value

The function is called for its side effect of launching the app.

Examples

if (interactive()) {
  run_associationexplorer()
}