Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model (GGM) from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) <arXiv:2402.19021>.

Provides a suite of tools that can assist in enhancing the 
    processing efficiency of 'SQL' and 'R' scripts. 
    - The 'libr_unused()' retrieves a vector of package names that are called 
    within an 'R' script but are never actually used in the script.
    - The 'libr_used()' retrieves a vector of package names actively utilized 
    within an 'R' script; packages loaded using 'library()' but not actually 
    used in the script will not be included.
    - The 'libr_called()' retrieves a vector of all package names which are 
    called within an 'R' script.
    - 'nolock()' appends 'WITH (nolock)' to all tables in 'SQL' queries. This 
    facilitates reading from databases in scenarios where non-blocking reads are 
    preferable, such as in high-transaction environments.

Converts numeric vectors to character vectors of English
    number names. Provides conversion to cardinals, ordinals, numerators,
    and denominators. Supports negative and non-integer numbers.

Similarity measures for hierarchical clustering of objects characterized by
    nominal (categorical) variables. Evaluation criteria for nominal data clustering.

Lite interface for getting data from 'OSM' service
    'Nominatim' <https://nominatim.org/release-docs/latest/>. Extract
    coordinates from addresses, find places near a set of coordinates and
    return spatial objects on 'sf' format.

Access UK official statistics from the 'Nomis' database. 
    'Nomis' includes data from the Census, the Labour Force Survey, DWP benefit 
    statistics and other economic and demographic data from the Office for 
    National Statistics, based around statistical geographies. See 
    <https://www.nomisweb.co.uk/api/v01/help> for full API documentation.