Changes in version 2.0.0 (2026-10-28)                  

First version submitted to CRAN.

New features

  - All six coefficients of Aiken (V, H, C, R, A, I) are now functionals
    of a single Dirichlet-Multinomial model (aiken_bayes(),
    aiken_bayes_table()), which treats each judge as one categorical
    observation and avoids the pseudo-replication of the Beta-Binomial
    formulation. R is modelled on the c-by-c joint table.
  - aiken_test(): the significance tests of Aiken (1985) for V, R and H,
    with the exact right-tail probability (V and R, by convolution of
    the null distribution; H, by simulation) and the large-sample z
    test.
  - Classical coefficients with the correct parity correction
    (aiken_V_classic(), aiken_H_classic(), ...) and the
    Penfield-Giacobbi score confidence interval for V (aiken_V_ic_pg()).
  - APA-style reporting (aiken_apa(), print_apa()) and a local Shiny
    application (run_aiken_app()).

Bug fixes (with respect to 1.0.0)

  - The parity correction of H and C was fixed at 1, wrong with an even
    number of judges.
  - The denominator of A omitted the number of criteria, and I used m
    = 2 regardless of the design.
  - coef_C() had no likelihood: it built pseudo-counts from its own
    point estimate.
  - The five coefficients other than V used a Beta-Binomial model; for H
    this gave intervals about 3.4 times narrower than they should be.