Streamlined data import and export by making assumptions that
    the user is probably willing to make: 'import()' and 'export()' determine
    the data format from the file extension, reasonable defaults are used for
    data import and export, web-based import is natively supported (including
    from SSL/HTTPS), compressed files can be read directly, and fast import
    packages are used where appropriate. An additional convenience function,
    'convert()', provides a simple method for converting between file types.

Constrained clustering, transfer functions, and other methods for analysing Quaternary science data.

Turns regression models inside out. Functions decompose variances and coefficients for various regression model types. Functions also visualize regression model objects using techniques developed in Schoon, Melamed, and Breiger (2024) <doi:10.1017/9781108887205>.

Utilities to access Integrated Food Security Phase Classification
    (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are
    available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>)
    simplified and advanced endpoints to easily download the data in a clean and
    tidy format.

Ports the Ripser <arXiv:1908.02518> and Cubical Ripser
        <arXiv:2005.12692> persistent homology calculation engines from
        C++. Can be used as a rapid calculation tool in topological
        data analysis pipelines.

The open sourced data management software 'Integrated
    Rule-Oriented Data System' ('iRODS') offers solutions for the whole
    data life cycle (<https://irods.org/>). The loosely constructed and
    highly configurable architecture of 'iRODS' frees the user from strict
    formatting constraints and single-vendor solutions. This package
    provides an interface to the 'iRODS' HTTP API, allowing you to manage
    your data and metadata in 'iRODS' with R. Storage of annotated files
    and R objects in 'iRODS' ensures findability, accessibility,
    interoperability, and reusability of data.