A 'shiny' application for visualizing high-dimensional data
    using non-linear dimensionality reduction (NLDR) techniques such as
    t-SNE and UMAP. It provides an interactive platform to explore
    high-dimensional datasets, diagnose the quality of the embeddings
    using the 'quollr' package, and compare different NLDR methods.

Create hexagonal shape sticker image.
  'polaroid' can be used in user's web browser.
  'polaroid' can be used in 'shinyapps.io'.
  In both way, user can download created 'hexSticker' as 'PNG' image.
  'polaroid' is built based on 'argonDash', 'colourpicker' and 'hexSticker' R package.

In each odd dimension is a convex body - the polar zonoid - whose generating functions are trigonometric polynomials.  The polar zonoid is a straightforward generalization of the polar zonohedron in dimension 3, as defined by Chilton and Coxeter (1963) <doi:10.2307/2313051>. The package has some applications of the polar zonoid, including the properties of configuration spaces of arcs on the circle and 3x3 rotation matrices.  There is also a root solver for trigonometric polynomials.

Latent class analysis and latent class regression models 
    for polytomous outcome variables.  Also known as latent structure analysis.

Wrangle and annotate different types of political texts.
    It also introduces Urgency Analysis,
    a new method for the analysis of urgency in political texts.

Tools for simplifying the creation and management of data structures
    suitable for dealing with policy portfolios, that is, two-dimensional spaces 
    of policy instruments and policy targets. The package also allows to generate measures of
    portfolio characteristics and facilitates their visualization.

Learn optimal policies via doubly robust empirical
 welfare maximization over trees. Given doubly robust reward estimates, this package
 finds a rule-based treatment prescription policy, where the policy takes the form of
 a shallow decision tree that is globally (or close to) optimal.