Package: easyalluvial
Title: Generate Alluvial Plots with a Single Line of Code
Version: 0.4.1
Authors@R: person( "Bjoern", "Koneswarakantha", role = c("aut","cre"), email = "datistics@gmail.com", comment = c(ORCID = "0000-0003-4585-7799") )
URL: https://github.com/erblast/easyalluvial/,
        https://erblast.github.io/easyalluvial/
BugReports: https://github.com/erblast/easyalluvial/issues
Description: Alluvial plots are similar to sankey diagrams and visualise categorical data 
    over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in 
    Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> 
    Their graphical grammar however is a bit more complex then that of a regular x/y 
    plots. The 'ggalluvial' package made a great job of translating that grammar into 
    'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial 
    plot, however there still remains a multi-layered complexity that makes it difficult
    to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple 
    interface to this package that allows you to produce a decent alluvial plot from any 
    dataframe in either long or wide format from a single line of code while also handling 
    continuous data. It is meant to allow a quick visualisation of entire dataframes 
    with a focus on different colouring options that can make alluvial plots a great 
    tool for data exploration. 
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5)
Suggests: testthat, covr, ISLR, nycflights13, vdiffr (>= 0.3.1),
        pkgdown, mlbench, earth, workflows, future, furrr, e1071,
        caret, parsnip, vip (>= 0.5.0), rpart, glmnet, xgboost
Imports: purrr , tidyr (>= 1.0.0) , dplyr , forcats , ggalluvial (>=
        0.9.1) , ggplot2 (>= 4.0.3) , ggridges , RColorBrewer , recipes
        (>= 0.1.5) , rlang , stringr , magrittr , tibble , gridExtra ,
        randomForest , progressr , progress
Language: en-US
Config/roxygen2/version: 8.0.0
Additional_repositories: https://bgreenwell.r-universe.dev
NeedsCompilation: no
Packaged: 2026-07-31 06:45:17 UTC; koneswab
Author: Bjoern Koneswarakantha [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4585-7799>)
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-31 08:00:02 UTC
Built: R 4.5.3; ; 2026-08-26 02:17:21 UTC; windows
