Distributes data from the Polarization in Comparative Attitudes Project. Helper
    functions enable data retrieval in wide and tidy formats for user-defined
    countries and years. Provides support for case-insensitive country names in many
    languages. Mehlhaff (2022) <https://imehlhaff.net/files/Polarization%20and%20Democracy.pdf>.

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.

A 'C++' reimplementation of 'poLCA' - latent class analysis and
    latent class regression models for polytomous outcome variables, also known
    as latent structure analysis. It attempts to reproduce results and be as
    similar as possible to the original code, while running faster, especially
    with multiple repetitions, by utilising multiple threads. Further reading is
    available on the Queen Mary, University of London, IT Services Research blog
    <https://blog.hpc.qmul.ac.uk/speeding_up_r_packages/>.