A cross-platform interface to file system operations, built
    on top of the 'libuv' C library.

A variety of simple fish stock assessment methods.

The datasets to support the Fish Stock Assessment ('FSA') package.

Provides high-level access to neuroimaging data from standard software packages like 'FreeSurfer' <http://freesurfer.net/> on the level of subjects and groups. Load morphometry data, surfaces and brain parcellations based on atlases. Mask data using labels, load data for specific atlas regions only, and visualize data and statistical results directly in 'R'.

Manages a file system cache. Regular files can be moved or copied to the cache folder. Sub-folders can be created in order to organize the files. Files can be located inside the cache using a glob function. Text contents can be easily stored in and retrieved from the cache using dedicated functions. It can be used for an application or a package, as a global cache, or as a per-user cache, in which case the standard OS user cache folder will be used (e.g.: on Linux $HOME/.cache/R/my_app_or_pkg_cache_folder).

Provides a provenance-aware framework for contextual reconstruction from
    file systems and related digital resource collections. The package creates
    reproducible snapshots of file-level metadata, paths, repository context,
    and optional content signatures. It supports contextual grouping, structural
    abstraction, temporal analysis, semantic stabilization, duplicate and reuse
    detection, and lightweight workflow reconstruction from file system
    observations. The framework deliberately separates observational evidence,
    contextual abstraction, semantic interpretation, and analytical
    reconstruction, enabling reproducible workflows that can be inspected by
    reviewers. It is designed to support future alignment with archival and
    contextual knowledge representation models, including the World Wide Web
    Consortium Provenance Ontology (PROV-O): Lebo et al. (2013)
    <https://www.w3.org/TR/prov-o/>
    and Records in Contexts developed by the International Council on Archives
    Expert Group on Archival Description (EGAD)
    <https://www.ica.org/ica-network/expert-groups/egad/records-in-contexts-ric/>.