Israeli baby names provided by Israel's Central Bureau of Statistics
    (CBS/LAMAS). Contains names used for at least 5 children in a given year,
    covering sectors "Jewish", "Muslim", "Christian-Arab", and "Druze" from
    1949-2024. Legacy 1948 data and archived "Other" sector data are provided
    as separate datasets. Primary data source: CBS Release 391/2025
    <https://www.cbs.gov.il/he/mediarelease/DocLib/2025/391/11_25_391t1.xlsx>.

'BabyTime' is an application for tracking infant and toddler
    care activities like sleeping, eating, etc. This package will take the
    outputted .zip files and parse it into a usable list object with
    cleaned data. It handles malformed and incomplete data gracefully and
    is designed to parse one directory at a time.

The BACCO bundle of packages is replaced by the BACCO
 package, which provides a vignette that illustrates the constituent
 packages (emulator, approximator, calibrator) in use.

Provides tools to facilitate the access and processing of data 
    from the Central Bank of Brazil API. The package allows users 
    to retrieve economic and financial data, transforming them into usable 
    tabular formats for further analysis. The data is obtained from the 
    Central Bank of Brazil API: <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.

Provides functions to query, retrieve, and tidy economic and
    financial data from Brazilian Central Bank web services for use in R
    analyses and workflows. Active institutions information, balance sheets and normative acts.

Provides the design of multi-group phase
    II clinical trials with binary outcomes using the hierarchical Bayesian
    classification and information sharing (BaCIS) model. Subgroups are classified
    into two clusters on the basis of their outcomes mimicking the hypothesis
    testing framework. Subsequently, information sharing takes place within
    subgroups in the same cluster, rather than across all subgroups. This method can
    be applied to the design and analysis of multi-group clinical trials with binary
    outcomes. Reference: Nan Chen and J. Jack Lee (2019) <doi:10.1002/bimj.201700275>.