The BACON algorithms are methods for multivariate outlier
    nomination (detection) and robust linear regression by Billor, Hadi,
    and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension
    to weighted problems is due to Beguin and Hulliger (2008)
    <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see
    also <doi:10.21105/joss.03238>.

Separates supplied variables into within- and
    between-cluster components and calculates bivariate correlations for
    each level separately. For Pearson correlations, the centered-score
    decomposition corresponds to commonly used between- and within-cluster
    correlations reviewed by Tu et al. (2025) <doi:10.1002/sim.10326>.
    The package's descriptive Spearman option is distinct from the clustered
    rank parameters introduced in that paper. The package is also
    motivated by the distinction between within- and between-person
    variation described by Curran and Bauer (2011)
    <doi:10.1146/annurev.psych.093008.100356> and by Hamaker (2024)
    <doi:10.1080/00273171.2022.2155930>.
    The package is intended for longitudinal or otherwise clustered data
    where researchers need transparent correlation matrices before fitting
    more complex multilevel models.

Computation of the Wasserstein Bipolarization Index as 
    described in Lee and Sobel (Forthcoming) 
    <doi:10.48550/arXiv.2408.03331>. Provides both 
    asymptotic (Sommerfeld, 2017 
    <https://ediss.uni-goettingen.de/bitstream/handle/11858/00-1735-0000-0023-3FA1-C/DissertationSommerfeldRev.pdf?sequence=1>) 
    and bootstrap methods (Efron and Narasimhan, 2020 
    <doi:10.1080/10618600.2020.1714633>) for calculating 
    confidence intervals.

Access and analyze the World Bank's International Debt Statistics
  (IDS) <https://www.worldbank.org/en/programs/debt-statistics/ids>.
  IDS provides creditor-debtor relationships between countries, regions, and
  institutions. 'wbids' enables users to download, process and work with IDS
  series across multiple geographies, counterparts, and time periods.