A procedure for seeding R's built in random number
    generators using a variable-length sequence of values.
    Accumulates input entropy into a 256-bit hash digest or "ironseed"
    and is able to generate a variable-length sequence of output seeds
    from an ironseed.

Provides functions to download, clean, and structure open data from the Brazilian Federal Revenue (Receita Federal do Brasil - RFB) regarding Personal Income Tax (IRPF) statements. Includes a data dictionary and categorized metadata for several sections such as assets, rights, debts, and income brackets. More information about the data source can be found at <https://dados.gov.br/dados/conjuntos-dados/grandes-nmeros-do-imposto-de-renda-da-pessoa-fsica>.

Coefficients of Interrater Reliability and Agreement for quantitative, ordinal and nominal data: ICC, Finn-Coefficient, Robinson's A, Kendall's W, Cohen's Kappa, ...

Implements a 'Shiny Item Analysis' module and functions for computing false positive rate 
  and other binary classification metrics from inter-rater reliability based on Bartoš & Martinková (2024) 
   <doi:10.1111/bmsp.12343>.

Contains a series of R functions for calculating various chance-corrected agreement 
  coefficients (CAC) among 2 or more raters. Among the CAC coefficients covered are Cohen's kappa, Conger's kappa,
  Fleiss' kappa, Brennan-Prediger coefficient, Gwet's AC1/AC2 coefficients, and Krippendorff's alpha. Multiple
  sets of weights are proposed for computing weighted analyses. Also included in this package is Bangdiwala's B
  coefficient.

Functions to help with analysis of longitudinal data featuring irregular observation times, where the observation times may be associated with the outcome process. There are functions to quantify the degree of irregularity, fit inverse-intensity weighted Generalized Estimating Equations (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>), perform multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>) and fit semi-parametric joint models (Liang Y (2009) <doi: 10.1111/j.1541-0420.2008.01104.x>).