Algorithmic experimental designs. Calculates exact and
        approximate theory experimental designs for D,A, and I
        criteria. Very large designs may be created. Experimental
        designs may be blocked or blocked designs created from a
        candidate list, using several criteria.  The blocking can be
        done when whole and within plot factors interact.

Provides an algebra over probability distributions enabling
    composition, sampling, and automatic simplification to closed forms.
    Supports normal, exponential, multivariate normal, and empirical
    distributions with operations like addition and subtraction that
    automatically simplify when mathematical identities apply (e.g., the
    sum of independent normal distributions is normal). Uses S3 classes for
    distributions and R6 for support objects.

Two unordered pairs of data of two different snips positions is haplotyped by resolving a small number ob closed equations.

Defines an algebra over maximum likelihood estimators (MLEs) by
    providing operators that are closed over MLEs, along with various statistical
    functions for inference. For background on maximum likelihood estimation,
    see Casella and Berger (2002, ISBN:978-0534243128). For the delta method
    and variance estimation, see Lehmann and Casella (1998, ISBN:978-0387985022).

Provides functions to access data from public RESTful APIs including 
    'World Bank API' and 'REST Countries API', retrieving real-time or historical 
    information related to Algeria. The package enables users to query economic 
    indicators and international demographic and geopolitical statistics in a 
    reproducible way. It is designed for researchers, analysts, and developers who 
    require reliable and programmatic access to Algerian data through established APIs. 
    For more information on the APIs, see: 
    'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392> 
    and 'REST Countries API' <https://restcountries.com/>.