CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)
CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics)
CRAN Task View: Finance (https://CRAN.R-project.org/view=Finance)
CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData)
CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)

Accessible wrappers for popular 'shiny' UI components, enforcing
    ARIA attributes and structural requirements in line with BITV 2.0
    (Barrierefreie-Informationstechnik-Verordnung) and WCAG 2.1 AA.
    Covers action buttons, text and select inputs, fluid page layouts with
    HTML landmarks and skip links, 'DT' data tables, and bar and line
    graphs from 'ggplot2'. Components validate label presence, expose
    keyboard-accessible ARIA states, and provide a high-contrast toggle.
    This package was developed by d-fine GmbH on behalf of the German
    Federal Ministry of Research, Technology and Space (BMFTR).

Bindings for the "A5 geospatial index"
    <https://a5geo.org/>. 'A5' partitions the Earth's surface into
    pentagonal cells across 31 resolution levels using an equal-area
    projection onto a dodecahedron. Provides functions for indexing
    coordinates to cells, traversing the cell hierarchy, computing cell
    boundaries, and compacting/uncompacting cell sets. Powered by the
    'A5' 'Rust' crate via 'extendr'.

Simulate population dynamics from realistically complex matrix
    population models in a plug-and-play fashion. Supports aspatial and 
    spatially implicit models with one or more species and time-varying
    covariates, stochasticity, density dependence, additions or removals of
    individuals, interspecific interactions, and metapopulations.

Provides the conditional Nelson-Aalen and Aalen-Johansen estimators. The methods are based on Bladt & Furrer (2023), in preparation.

Implements a simple version of multivariate matching using a propensity score, near-exact matching, near-fine balance, and robust Mahalanobis distance matching (Rosenbaum 2020 <doi:10.1146/annurev-statistics-031219-041058>).  You specify the variables, and the program does everything else.