Test the robustness of a user's Qualitative Comparative Analysis
    solutions to randomness, using the bootstrapped assessment: baQCA(). This
    package also includes a function that provides recommendations for improving
    solutions to reach typical significance levels: brQCA(). Data included 
    come from McVeigh et al. (2014) <doi:10.1177/0003122414534065>.

Implements Bayesian response-adaptive randomization methods based on Bayesian hypothesis testing for multi-arm settings (Pawel and Held, 2025, <doi:10.48550/arXiv.2510.01734>).

Executes BASIC programs from the 1970s, for historical and
    educational purposes. This enables famous examples of early machine
    learning, artificial intelligence, natural language processing, cellular
    automata, and so on, to be run in their original form.

Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.

Allows access to data from the Brazilian Public Security Information System (SINESP) by state and municipality. It should be emphasized that the package only extracts the data and facilitates its manipulation in R. Therefore, its sole purpose is to support empirical research. All data credits belong to SINESP, an integrated information platform developed and maintained by the National Secretariat of Public Security (SENASP) of the Ministry of Justice and Public Security. <https://www.gov.br/mj/pt-br/assuntos/sua-seguranca/seguranca-publica/sinesp-1>.

Provides functions to access data from the 'BrasilAPI', 'Nager.Date API', 
    and 'World Bank API', related to Brazil's postal codes, banks, holidays,
    company registrations, and economic development data. Additionally, the package includes
    curated datasets related to Brazil, covering topics such as demographic data (males and
    females by state and year), river levels, environmental emission factors, film festivals,
    and yellow fever outbreak records. The package supports research and analysis focused on
    Brazil by integrating open APIs with high-quality datasets from multiple domains. For more
    information on the APIs, see: 
    'BrasilAPI' <https://brasilapi.com.br/>, 
    'Nager.Date' <https://date.nager.at/Api>, 
    'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>.