Bayesian Beta Regression, adapted for bounded discrete responses, commonly seen in survey responses.
  Estimation is done via Markov Chain Monte Carlo sampling, using a Gibbs wrapper around univariate slice sampler 
  (Neal (2003) <DOI:10.1214/aos/1056562461>), as implemented in the R package MfUSampler 
  (Mahani and Sharabiani (2017) <DOI: 10.18637/jss.v078.c01>).

Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) <doi:10.1016/j.seps.2024.101992>, Boj et al. (2026) <doi:10.1007/s10260-026-00860-1>, and Grané et al. (2026) <doi:10.1007/s10182-026-00565-6>.

A fast reimplementation of several density-based algorithms
    of the DBSCAN family. Includes the clustering algorithms DBSCAN
    (density-based spatial clustering of applications with noise) and
    HDBSCAN (hierarchical DBSCAN), the ordering algorithm OPTICS (ordering
    points to identify the clustering structure), shared nearest neighbor
    clustering, and the outlier detection algorithms LOF (local outlier
    factor) and GLOSH (global-local outlier score from hierarchies). The
    implementations use the kd-tree data structure (from library ANN) for
    faster k-nearest neighbor search. An R interface to fast kNN and
    fixed-radius NN search is also provided.  Hahsler, Piekenbrock and
    Doran (2019) <doi:10.18637/jss.v091.i01>.

Provides database-backed spatial geometry classes and methods for
    working with vector spatial data in 'DuckDB'. The package supports loading,
    converting, querying, joining, and measuring spatial geometries through
    familiar 'sf'-style interfaces while keeping geometry columns lazy inside
    the database. It integrates with 'dbProject' to preserve database paths,
    live connections, and spatial table metadata across interactive sessions.
    The package follows the Simple Features framework described by Pebesma
    (2018) <doi:10.32614/RJ-2018-009> and uses DuckDB's spatial extension
    <https://duckdb.org/docs/stable/core_extensions/spatial/overview.html>.