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>.

R interface for calling 'OpenCV' routines that works by
	     translating R objects to 'OpenCV' classes and back.
	     Low-level wrappers for several 'OpenCV' routines are
	     provided as 'Rcpp' modules. In addition, high level
	     interfaces are provided for a limited selection of common
	     operations.

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 <doi:10.48550/arXiv.1908.02518>
    and Cubical Ripser <doi:10.48550/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.

Parameter estimation, computation of probability, information, and 
    (log-)likelihood, and visualization of item/test characteristic curves and
    item/test information functions for three uni-dimensional item response theory
    models: the 3-parameter-logistic model, generalized partial credit model, 
    and graded response model. The full documentation and tutorials are at 
    <https://github.com/xluo11/Rirt>.