Extends the functionality of base 'R' lists and provides
    specialized data structures 'deque', 'set', 'dict', and 'dict.table',
    the latter to extend the 'data.table' package.

Provides tools for containerizing 'R' projects. The core
    function, 'generate_dockerfile()', analyzes an 'R' project's environment
    and dependencies via an 'renv' lock file and generates a ready-to-use
    'Dockerfile' that encapsulates the computational setup. Designed to help
    researchers build portable, reproducible workflows that can be reliably
    shared, archived, and rerun across systems. See R Core Team (2025)
    <https://www.R-project.org/>, Ushey et al. (2025)
    <https://CRAN.R-project.org/package=renv>, and Docker Inc. (2025)
    <https://www.docker.com/>.

Fits mixtures of multivariate contaminated normal distributions
        (with eigen-decomposed scale matrices) via the expectation conditional-
	maximization algorithm under a clustering or classification paradigm
	Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.

Provides methods for difference-in-differences with a continuous treatment and staggered treatment adoption. Includes estimation of treatment effects and causal responses as a function of the dose, event studies indexed by length of exposure to the treatment, and aggregation into overall average effects. Uniform inference procedures are included, along with both parametric and nonparametric models for treatment effects. The methods are based on Callaway, Goodman-Bacon, and Sant'Anna (2025) <doi:10.48550/arXiv.2107.02637>.

Provides comprehensive tools for extracting and analyzing scientific 
    content from PDF documents, including citation extraction, reference matching, 
    text analysis, and bibliometric indicators. Supports multi-column PDF layouts,
    'CrossRef' API <https://www.crossref.org/documentation/retrieve-metadata/rest-api/> integration, and advanced citation parsing.

An interface for creating, registering, and resolving content-based
             identifiers for data management. Content-based identifiers rely on
             the 'cryptographic' hashes to refer to the files they identify, thus,
             anyone possessing the file can compute the identifier using a 
             well-known standard algorithm, such as 'SHA256'.  By registering
             a URL at which the content is accessible to a public archive (such as 
             Hash Archive) or depositing data in a scientific repository such 'Zenodo',
             'DataONE' or 'SoftwareHeritage', the content identifier can serve 
             many functions typically associated with A Digital Object Identifier
             ('DOI').  Unlike location-based identifiers like 'DOIs', content-based
             identifiers permit the same content to be registered in many locations.