Functions to convert text data for labelling into format appropriate for importing into Qualtrics. Supports multiple language, including right-to-left scripts as well as different response types. Outputs an Advance Format .txt file that read into Qualtrics.

Programmatic access to the 'PGS' Catalog.
    This package provides easy access to 'PGS' Catalog data by
    accessing the REST API <https://www.pgscatalog.org/rest/>.

Grows a qualitative interaction tree. Quint is a tool for subgroup analysis, suitable for data from a two-arm randomized controlled trial. More information in Dusseldorp, E., Doove, L., & Van Mechelen, I. (2016) <doi:10.3758/s13428-015-0594-z>.

Functions to compute Euclidean minimum spanning trees using single-,
    sesqui-, and dual-tree Boruvka algorithms.  Thanks to K-d trees, they are
    fast in spaces of low intrinsic dimensionality.  Mutual reachability
    distances (used in the definition of the 'HDBSCAN*' algorithm)
    are supported too.  The package also includes relatively fast fallback
    minimum spanning tree and nearest-neighbours algorithms for spaces of
    higher dimensionality.  The 'Python' version of 'quitefastmst' is available
    via 'PyPI'.

To construct a model in 2-D space from 2-D nonlinear
    dimension reduction data and then lift it to the high-dimensional
    space. Additionally, provides tools to visualise the model overlay the
    data in 2-D and high-dimensional space. Furthermore, provides
    summaries and diagnostics to evaluate the nonlinear dimension
    reduction layout.

Collect  your data on digital marketing campaigns from 'Quora' Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Full text, in data frames containing one row per verse, of the 
    Qur'an in Arabic (with and without vowels) and in English (the Yusuf Ali 
    and Saheeh International translations), formatted to be convenient for 
    text analysis.

High-throughput analysis of growth curves and fluorescence
    data using three methods: linear regression, growth model fitting, and
    smooth spline fit. Analysis of dose-response relationships via
    smoothing splines or dose-response models. Complete data analysis
    workflows can be executed in a single step via user-friendly wrapper
    functions. The results of these workflows are summarized in detailed
    reports as well as intuitively navigable 'R' data containers. A 'shiny'
    application provides access to all features without
    requiring any programming knowledge. The package is described in further
    detail in Wirth et al. (2023) <doi:10.1038/s41596-023-00850-7>.