Log-ratio Lasso regression for continuous, binary, and survival outcomes with (longitudinal) compositional features. See Fei and others (2024) <doi:10.1016/j.crmeth.2024.100899>.

Interactive data visualization for data practitioners. 'flourishcharts' allows users to visualize their data 
  using 'Flourish' graphs that are grounded in data storytelling principles. Users can create racing bar & line
  charts, as well as other interactive elements commonly found in 'D3' graphics, easily in 'R' and 'Python'. 
  The package relies on an enterprise API provided by 'Flourish', a data visualization platform <https://developers.flourish.studio/api/introduction/>.

Visualize as flow diagrams the logic of functions, expressions or 
  scripts in a static way or when running a call, visualize the dependencies between
  functions or between modules in a shiny app, and more.

Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.

Provides functionality for clustering
    origin-destination (OD) pairs, representing desire lines (or flows).
    This includes creating distance matrices between OD pairs and passing
    distance matrices to a clustering algorithm. See the academic paper 
    Tao and Thill (2016) <doi:10.1111/gean.12100>
    for more details on spatial clustering of flows.
    See the paper on delineating demand-responsive operating areas
    by Mahfouz et al. (2025) <doi:10.1016/j.urbmob.2025.100135>
    for an example of how this package can be used to cluster flows for
    applied transportation research.

Computes unidimensional and multidimensional Reciprocity and Inaccuracy indices. These indices are applicable to common heterostylous populations and to any other type of stylar dimorphic and trimorphic populations, such as in enantiostylous and three-dimensional heterostylous plants. Simón-Porcar, V., A. J. Muñoz-Pajares, J. Arroyo, and S. D. Johnson. (in press) "FlowerMate: multidimensional reciprocity and inaccuracy indices for style-polymorphic plant populations."