BayesAiken 2.0.0

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.