Generate interactive html reports that enable quick visual review of multiple related time series stored in a data frame. For static datasets, this can help to identify any temporal artefacts that may affect the validity of subsequent analyses. For live data feeds, regularly scheduled reports can help to pro-actively identify data feed problems or unexpected trends that may require action. The reports are self-contained and shareable without a web server.

This is the core package offering a portal to the many packages universe.
    It includes functions to help researchers access, work across, and maintain
    ensembles of datasets on global governance called datacubes.

Provides tools for constructing, computing, and using distance
    measures for numerical, categorical, and mixed-type data. The package
    implements a flexible framework in which continuous and categorical
    components can be combined under additive, commensurable, and
    association-aware specifications. Supported methods include classical
    distances such as Gower, Euclidean, Manhattan, and Mahalanobis-type
    distances; categorical dissimilarities such as simple matching,
    occurrence-frequency, and association-based measures; and mixed-type
    presets designed to reduce biases due to variable type, scale,
    distribution, redundancy, and number of categories. The package also
    provides scaling options, supervised and unsupervised distance
    constructions, leave-one-variable-out tools for distance-based variable
    importance, and integration with distance-based learning workflows such
    as nearest-neighbour prediction, partitioning around medoids, and
    spectral clustering. Methods are motivated by van de Velden,
    Iodice D'Enza, Markos, and Cavicchia (2026)
    <doi:10.1080/10618600.2026.2680181> and related work on categorical
    and mixed-type dissimilarities.

Comprehensive toolkit for Environmental Phillips Curve analysis 
    featuring multidimensional instrumental variable creation, transfer entropy 
    causal discovery, network analysis, and state-of-the-art econometric methods.
    Implements geographic, technological, migration, geopolitical, financial, 
    and natural risk instruments with robust diagnostics and visualization.
    Provides 24 different instrumental variable approaches with empirical validation.
    Methods based on Phillips (1958) <doi:10.1111/j.1468-0335.1958.tb00003.x>,
    transfer entropy by Schreiber (2000) <doi:10.1103/PhysRevLett.85.461>, and 
    weak instrument tests by Stock and Yogo (2005) <doi:10.1017/CBO9780511614491.006>.