Stacking rings are tools used to stack pottery in a Kiln.
    A relatively large group of stacking rings was found in the area of the 
    sanctuary of Dionysos in Miletus in the 1970s. Measurements 
    and additional info is gathered in this package and made available for use
    by other researchers. The data along with its archaeological context 
    and analysis has been published 
    in "Archäologischer Anzeiger" (2020/1, <doi:10.34780/aa.v0i1.1014>).

Streamline the management, analysis, and visualization of
    CORINE Land Cover data. Addresses challenges associated with its
    classification system and related styles, such as color mappings and
    descriptive labels.

Creates compact letter displays (CLDs) for pairwise comparisons 
    from statistical post-hoc tests. Groups sharing the same letter are not 
    significantly different from each other. Supports multiple input formats 
    including results from 'stats' pairwise tests, 'DescTools', 'PMCMRplus', 
    'rstatix', symmetric matrices of p-values, and data frames. Provides a 
    consistent interface for visualizing statistical groupings across different 
    testing frameworks.

Bindings to Google's C++ library Compact Language Detector 2
    (see <https://github.com/cld2owners/cld2#readme> for more information). Probabilistically
    detects over 80 languages in plain text or HTML. For mixed-language input it returns the
    top three detected languages and their approximate proportion of the total classified 
    text bytes (e.g. 80% English and 20% French out of 1000 bytes). There is also a 'cld3'
    package on CRAN which uses a neural network model instead.

Google's Compact Language Detector 3 is a neural network model for language 
    identification and the successor of 'cld2' (available from CRAN). The algorithm is still
    experimental and takes a novel approach to language detection with different properties
    and outcomes. It can be useful to combine this with the Bayesian classifier results 
    from 'cld2'. See <https://github.com/google/cld3#readme> for more information.