Tests the parallel regression assumption wit the brant test by Brant (1990) <doi: 10.2307/2532457> for ordinal logit models generated with the function polr() from the package 'MASS'.

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>.

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.

Utilities for Bratteli graphs. A tree is an example of a Bratteli
    graph. The package provides a function which generates a 'LaTeX' file
    that renders the given Bratteli graph. It also provides functions to
    compute the dimensions of the vertices, the intrinsic kernels and the
    intrinsic distances. Intrinsic kernels and distances were introduced
    by Vershik (2014) <doi:10.1007/s10958-014-1958-0>.

Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.

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', 'REST Countries API',
    'Nager.Date API', and 'World Bank API', related to Brazil's postal codes, banks, holidays,
    company registrations, international country indicators, public holidays information, 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>, 
    and 'REST Countries API' <https://restcountries.com/>.